Be a part of the Ellicium Family!

We enable business transformation through Big Data, Analytics, and Artificial Intelligence

What are we about?

At Ellicium be ready for contagious excitement, worthy challenges and enriching learning experience every day. We trust in the process of failing fast and learning fast.

You will find ‘Ellicians’ putting their heart to get the perfect dish during our monthly potlucks or arguing over best Nolan movie during lunch breaks. It is all about having fun!

We are passionate people with immense love for what we do and we are proud of what we have created! .

Our Key Values

Ambition

Businesses need to make better and faster decisions by analyzing data to stay competitive and future-ready

teamwork

Businesses need to make better and faster decisions by analyzing data to stay competitive and future-ready

growth

Businesses need to make better and faster decisions by analyzing data to stay competitive and future-ready

community

Businesses need to make better and faster decisions by analyzing data to stay competitive and future-ready

Perks and Benefits

Businesses need to make better and faster Businesses need to make better and faster decisions by analyzing data
to stay competitive and future-ready

Targeted Bonus Program

Health Care

Competitive Salary

Life Inside Ellicium

‘Family Spirit’ is the heart of everything that we do at Ellicium. Be it fun, learning, or being together through thick and thin!

Open Positions

RPA Tech Lead

Primary skills: RPA
Years of experience: 5+

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Mandatory Skills:

  • Experience in UI Path/Automation Anywhere, SQL and relational databases, and application development, database configuration, troubleshooting.
  • Drive and desire to learn and become a key expert in Robotic Process Automation.

Snowflake architect

Primary skills: Snowflake
Years of experience: 8+

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Must hav Skills:

  • Total 8+ yrs. in IT and 3+ years’ experience working as a snowflake Data Architect and 5+ years in Data warehouse, ETL, BI projects. Must have experience at least two end to end implementations of Snowflake cloud data warehouse and 3 end to end data warehouse implementations.
  • Expertise in Snowflake – data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts.
  • Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features.
  • Expertise in deploying Snowflake features such as data sharing, events and lake-house patterns.
  • Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python.
  • Experience in Data Migration from RDBMS to Snowflake cloud data warehouse.
  • Deep understanding of star and snowflake, dimensional modelling. Experience with data security and data access controls and design -Experience with AWS or Azure data storage and management technologies such as S3 and ADLS.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot.
  • Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface.
  • Must have expertise in AWS or Azure Platform as a Service (PAAS).
  • Certified Snowflake cloud data warehouse Architect (Desirable).

C# developer.

Primary skills: C#,Dot Net
Years of experience: 2+

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Manadatory Skills:

  • Proficient in C#, with a good knowledge of its ecosystems.
  • Familiarity with the .NET framework.
  • Strong understanding of object-oriented programming.
  • Skill for writing reusable C# libraries.
  • Familiarity with writing and exposing API endpoints using C#.
  • Familiar with various design and architectural patterns.
  • Knowledge of concurrency patterns in C#.
  • A willingness to get trained and work on cutting edge technologies like React, Node etc.
  • Familiarity with Microsoft SQL Server.
  • Knack for writing clean, readable C# code.
  • Understanding fundamental design principles behind a scalable application.
  • Basic understanding of Common Language Runtime (CLR), its limitations, weaknesses, and workarounds.
  • Implementing automated testing platforms and unit tests
    Proficient understanding of code versioning tools Git.
  • Familiarity with continuous integration.

SQL/SSIS Developer

Primary skills: SQL,SSIS
Years of experience: 4-6+

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Mandatory Skills:

  • Around 4-6 years as an MSBI developer on SSIS, SSRS and SQL Server.
  • Excellent knowledge and hands-on experience in SQL.
  • Good knowledge of data warehouses, ETL and dimensional modeling concepts.
  • Good exposure to the BI Reporting in the SSRS and the SSIS, MS.
  • Develop procedures and scripts for data migration.
  • Develop, implement and optimize stored procedures and functions.
  • Excellent communication skills.

Incident Manager

Primary skills: Salesforce, ServiceNow
Years of experience: 15+

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Minimum Required:

  • Familiarity with incident-based ticket management tools.
  • Running NOC, Designing and Rolling Processes, Running regular calls, Running Outage calls, RCA, etc.
  • Should be well versed with L3 Support activity and responding to a reported service incident, identifying the cause, and initiating the incident management process.
  • Overseeing the incident management process and team members involved in resolving the incident.
  • Prioritizing incidents according to their urgency and influence on the business.
  • Producing documents that outline incident protocols such as how to handle cybersecurity threats or how to correct server failures.
  • Collaborating with the incident management team to ensure that all protocols are diligently followed.
  • Logging all incidents and their resolution to see if there are recurring malfunctions.
  • Adjusting the incident management process as required to ensure its effectiveness.
  • Communicating with upper management if major issues are found in the IT system.
  • Managing the incident team members by re-assigning workloads and re-scheduling non-urgent tasks.
  • Efforts estimation and team management including compiling team goals, as well as people’s goals with KRAs.
  • Configure and troubleshoot the issue with RAID configurations using tools like mdadm and smartctl.
  • Knowledge of PCI and PCIe and troubleshoot PCI issues using tools like lspci and lshw as well as standard networking protocols like.
  • Spanning Tree (STP, different types), LAG, VLAN (tagged vs untagged).
  • Hosting from the Service Processor from the host using tools like RKVM, IPMI tool.
  • Keep continuous updates on the stage the porting efforts are in and provide realistic ETAs back to Customer Engineering .
  • Evaluation of the existing model libraries to ensure that there are no performance or regressions on a new software release.

SRE- AI infrastructure

Primary skills: Containers,Kubernative,Devops,Python,Golang,TDD,Linux
Years of experience: 5-7+

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The Service Operations team at “Product Platform” Systems is responsible for building and operating the platform and infrastructure that enables us to deliver our groundbreaking capabilities to enterprise customers.
As a site reliability engineer on this team, you will lead key system engineering and automation functions, enhancing our capabilities to provide a reliable and scalable service for customers, in a hybrid deployment pattern.

How you will make an impact:

  • Assume broad responsibilities for successful delivery of our “Product Platform” services in a hybrid model including but not limited to, deployment, configuration, integrations, and ongoing operations.
  • Systems and application administration for multiple customer facing production environments (hosted and on-premise), with a continued focus on improving efficiencies, availability, and supportability.
  • Take ownership for ongoing updates, upgrades and patches on customer environments.
  • Lead efforts to triage, debug and fix issues related to network, storage, scheduling, applications, and systems, for proactive and reactive incident resolution and root cause analysis.
  • Augment ongoing efforts to design and develop automation for deployments, updates and upgrades of the entire “Product Platform” software stack.
  • Build the systems and tools for centralized command and control of distributed environments.
  • Partner and collaborate with product and engineering teams to improve the security posture and operational readiness of our systems with the flexibility to integrate into unique customer environments.
  • Participate in on-call rotation responsibilities.

Basic qualifications :

  • Bachelors and/or Masters in CS /EE or related field.
  • 5+ years of hands-on experience as an SRE with focus on systems and infrastructure for cloud/SaaS production requirements.
  • Extensive experience building, configuring, securing and administering Linux systems large-scale production environments.
  • Strong scripting /programming skills (Python preferable) with experience with automated deployment systems, e.g. Ansible, Terraform, etc.
  • Systematic problem-solving approach to troubleshooting, and the desire to solve the root cause of common problems in 24×7 environments.

Preferred Qualifications:

  • Deep understanding of DNS, DHCP, LDAP, NFS, Kerberos, PAM, PXE, SNMP, SSH, HTTP/S, NTP, troubleshooting network performance issues.
  • Knowledge of software development processes and methods, CI/CD pipelines and experience with common version control software.
  • Knowledge of virtualization, multiple hypervisor technologies, Kubernetes cluster administration and management.
  • Experience deploying applications and managing infrastructure in public clouds (AWS, Azure, GCP).
  • Experience with monitoring and logging systems and the ability to identify new technologies as appropriate.
  • Configuration and maintenance of web servers, load balancers, databases, storage systems and messaging systems.
  • A passion to design for high availability and scale, with the discipline and desire for extensive automation.
  • Strong communication skills with the ability and willingness to work with diverse teams, and customers, across multiple time zones.

SRE- Cloud Native

Primary skills: Containers,Kubernative,Devops,Python,Golang,TDD,Linux
Years of experience: 5-7+

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The Service Operations team at “Product Platform” Systems is responsible for building and operating the platform and infrastructure that enables us to deliver our groundbreaking capabilities to enterprise customers.
As a site reliability engineer on this team, you will work closely alongside the platform engineering team to deploy and manage our Kubernetes based platform at a global scale. You will lead multiple initiatives to enhance our capabilities and provide a reliable, scalable service for customers, in a hybrid deployment pattern.

How you will make an impact:

  • Assume broad responsibilities for successful delivery of our “Product Platform” services in a hybrid model including but not limited to, deployment, configuration, integrations, and ongoing operations
  • Deploy, administer, manage multiple Kubernetes clusters, both on-prem and in private cloud environments
  • Lead efforts to triage, debug and fix issues related to network, storage, scheduling, applications, and systems, for proactive and reactive incident resolution and root cause analysis.
  • Develop and continuously improve platform capabilities for observability, monitoring, notifications, logging, tracing and continuous delivery with reduced toil
  • Develop standard solutions that enable consistency in service delivery and proactively engage with multiple cross-functional teams to solve problems that impact service levels.
  • Collaborate with the platform engineers for continuous automation of fleet-wide infrastructure and application deployments
  • Determine and set SLOs for the service and build the process and tools to measure and implement the SLOs, prevent recurring problems and undesirable service conditions.
  • Participate in on-call rotation responsibilities

 

Basic qualifications :

  • Bachelors and/or Masters in CS /EE or related field
  • 5+ years of hands-on experience as an SRE with focus on cloud native technologies
  • Hands-on experience deploying, managing and troubleshooting Kubernetes clusters and components.
  • Strong experience configuring and administering Linux systems in cloud/Saas production environments.
  • Systematic problem-solving approach to troubleshooting, and the desire to solve the root cause of common problems in 24×7 environments
    Preferred Qualifications
  • Software programming experience in one or more languages including Go/ Python
  • Experience delivering infrastructure as code – Ansible, Terraform, Git, Jenkins, Helm, ArgoCD.
  • Good understanding of DNS, DHCP, LDAP, NFS, Kerberos, PAM, PXE, SNMP, SSH, HTTP/S, NTP, troubleshooting network performance issues
  • Experience with monitoring and logging systems such as Prometheus, Grafana, Nagios, ELK etc. and the ability to identify new technologies as appropriate ● Experience tuning and optimizing storage solutions including Object Storage and NFS.
  • Knowledge of virtualization, multiple hypervisor technologies as well as cloud computing technologies like AWS, Azure, GCP.
  • Configuration and maintenance of web servers, load balancers, databases, storage systems and messaging systems
  • Good understanding of test driven development, continuous integration and delivery
  • A passion to design for high availability and scale, with the discipline and desire for extensive automation.
  • Strong communication skills with the ability and willingness to work with diverse teams, and customers, across multiple time zones.

Sr Talend ETL Developer

Primary skills: SQL,Talend, SSIS , SSRS
Years of experience: 8+

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Mandatory Requirement-Technical:

  • 2+ years of ANSI SQL and PL SQL programming skills including writing, debugging, and
    tuning SQL scripts, stored procedures/functions etc.
  • Experience with Snowflake or similar database system.
  • 1+ years of experience with ETL and CDC tools including Talend, SSIS , SSRS and HVR.
  • Minimum of 2 years of experience with Database design (preferably in a in banking or
    financial services Industry).
  • Knowledge and experience with coding languages, including Java, python, and bash
  • Experience with semi-structured data like XML and/or JSON
  • Work experience on JIRA and /or other Quality Management software.

Functional:

  • Develop and maintain datasets for business use.
  • Build data systems and pipelines.
  • Improving data quality and efficiency.
  • Client facing with excellent communication, presentation, and documentation skills –
    ability to communicate at all levels within business from C-level to end users, with ability
    to communicate technical matters in non-technical business terms.
  • A team player who works collaboratively and provides coaching and support to transfer
    technical & data knowledge
  • Demonstrated success in managing multiple deliverables concurrently often within
    aggressive timeframes; ability to cope under time pressure.
  • Experience in partnering with a diverse team in multiple locations.
  • Ability to analyze a company's big-picture data needs.Java, python, and bash
  • Experience with semi-structured data like XML and/or JSON
  • Work experience on JIRA and /or other Quality Management software.

Data QA

Primary skills: SQL,QA
Years of experience: 6+

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Mandatory Skills:

  • Proficiency in programming languages, including Structured Query Language (SQL)
  • Must have Snowflake testing experience.
  • Expert knowledge of application/software development, QA principles, and agile methodology
  • Performing statistical tests on large datasets to determine data quality and integrity.
  • Collaborating with database developers to improve data collection and storage processes.
  • Running data queries to identify coding issues and data exceptions, as well as cleaning data.
  • Gathering data from primary or secondary data sources to identify and interpret trends.
  • Reporting data analysis findings to management to inform business decisions and prioritize
    information system needs.
  • Creating test cases, executing them, reporting bugs, triage meetings.
  • Must have worked on report findings of the QA activities.
  • Automating QA activities like execution of test cases.
  • Working with cross-functional teams.
  • Good communication skills.

Talend ETL Developer

Primary skills: SQL,Talend, SSIS , SSRS
Years of experience: 3-6+

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Mandatory Requirement-Technical:

  • 2+ years of ANSI SQL and PL SQL programming skills including writing, debugging, and
    tuning SQL scripts, stored procedures/functions etc.
  • Experience with Snowflake or similar database system.
  • 1+ years of experience with ETL and CDC tools including Talend, SSIS , SSRS and HVR.
  • Minimum of 2 years of experience with Database design (preferably in a in banking or financial services Industry).
  • Knowledge and experience with coding languages, including Java, python, and bash
  • Experience with semi-structured data like XML and/or JSON
  • Work experience on JIRA and /or other Quality Management software.

Functional:

  • Develop and maintain datasets for business use.
  • Build data systems and pipelines.
  • Improving data quality and efficiency.
  • Client facing with excellent communication, presentation, and documentation skills –
    ability to communicate at all levels within business from C-level to end users, with ability
    to communicate technical matters in non-technical business terms.
  • A team player who works collaboratively and provides coaching and support to transfer
    technical & data knowledge
  • Demonstrated success in managing multiple deliverables concurrently often within
    aggressive timeframes; ability to cope under time pressure.
  • Experience in partnering with a diverse team in multiple locations.
  • Ability to analyze a company’s big-picture data needs. Java, python, and bash
  • Experience with semi-structured data like XML and/or JSON
  • Work experience on JIRA and /or other Quality Management software.

Snowflake Data Engineer

Primary skills: Snowflake,SQL
Years of experience: 4-8+

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Mandatory Skills-Technical:

  • 5+ years of ANSI SQL programming skills including writing, debugging, and tuning SQL scripts, stored procedures/functions etc.
  • 1+ years of experience working on Snowflake including Snow SQL, Tasks, Procs, functions, Query tuning etc.
  • 1+ years of experience with ETL and CDC tools including Talend, SSIS and HVR.
  • Experience in advanced snowflake features such as data sharing, events, and lake-house patterns.
  • Minimum of 2 years of experience with Database design (preferably in a in banking or financial services Industry).
  • Work experience on JIRA and /or other Quality Management software.

Infra Support L1/L2

Primary skills: Linux
Years of experience: 4-7+

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Minimum Required:

  • Good verbal and written communication skills in English with a friendly and helpful attitude.
  • Familiarity with ticket-based case management and ability to notify and escalate on back channels [L3 Support and developers] to local and remote management while staying engaged technically with the customer
  • Ability to rapidly research through both internal and external knowledge base while maintaining engaged with the customer
  • Configure and troubleshoot the issue with RAID configurations using tools like mdadm and smartctl
  • Knowledge of PCI and PCIe and troubleshoot PCI issues using tools like lspci and lshw as well as standard networking protocols like
  • Spanning Tree (STP, different types), LAG, VLAN (tagged vs untagged)
  • Hosting from the Service Processor from the host using tools like RKVM, IPMI tool
  • Knowledge of booting a system in order to run a rescue process, interact with Red Hat and Ubuntu Support and diagnostic collection with tools such as SOSReport, case filing techniques and configuration file locations and related commands such as user* , group*, id , getent , passwd, etc.
  • Describe the configuration and troubleshooting of users and groups as well as setup of crontab scheduling, log rotation and configuration of Auditing
  • Log file locations / assess OS health using the journalctl command and flags/switches
  • Describe how to use both RedHat and Ubuntu Services management and how to start, stop and debug a failing service as well as the packaging for both Red Hat and Ubuntu and how to upgrade, downgrade and troubleshoot failures using tools such as apt, yum, dnf, etc.
  • System performance monitoring using tools such as top, mem, strace, iostat, vmstat, htop, iotop
  • Understand basic IP services like routing, netstat -r, name services,
  • DNS, and shell scripting specifically bash
  • Configure IP number as per standard ‘classes’ and configure and troubleshoot sshd
    Should have understanding of the difference between containers and VMs
  • Data Center Interaction: Configure and troubleshoot NFS storage,
  • LDAP, DNS configurations
  • Manage a ‘managed switch’, simple troubleshooting of port-down,
  • Firewall and NAT knowledge, accessing ‘mgmt interface’ and ‘serial console’.

Nice to Have:

  • Strong understanding of ITIL Service Management
  • Utilize and analyze output of tools such as eBPF, linux perf
  • Use GDB to analyze application and operating system core files
  • Knowledge of Docker configuration, Kubernetes and podman
  • Demonstrated Experience with load balancers
  • VM configuration and control systems (VMWare or similar)
  • Juniper (JunOS) specific working knowledge
  • VPN endpt to endpt knowledge [Setup, Troubleshooting, Handling pre-share key (sensitive)
  • Python

Big Data Architect

Primary skills: Big Data
Years of experience: 8+

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Manadatory Skills:

  • Total experience: 8+ years out of which 5+ years should be in Big Data systems.
  • Strong experience with Designing, creating, optimizing (Cloud or on- premise) Hadoop platforms
  • Knowledge and experience with at least 2 Cloud platforms (AWS, Azure, or Google Cloud Platform)
  • Experience of designing Hadoop clusters, sizing of clusters and designing data ingestion mechanisms is a must.
  • HBase experience will be an added advantage.
  • Strong Experience with Apache Spark, Storm, Kafka is a must.
  • Experience with Python, Pig, Hive, Kafka, Knox, Tomcat and Ambari DevOps experience ie.. (Git + CI/CD + IaC)
  • Strong understanding with various enterprise security solutions such as LDAP and/or Kerberos
  • Familiarity with scripting tools such as bash shell scripts, Python and/or Perl, Ansible, Chef, Puppet

Azure Data Architect/ Solution Architect

Primary skills: zure Data Analytics, Big Data, Data Warehousing, ETL, MDM Projects/Products
Years of experience: 7-8+

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Manadatory Skills:

  • Hands-on experience of 7-8 years in business analysis, pre-sales, solution proposals, development
  • Proficient in capturing requirements, Architect and Design solutions for Azure Data Analytics, Big Data, Data Warehousing, ETL, MDM Projects/Products
  • End-to-end implementation experience in in Data Warehouse and Analytics using Azure Data platform tools.
  • Proficient in the tools: Azure Data Factory, Azure Databricks, Azure
  • Data Lake, Azure Synapse, Spark Azure SQL DB,MS-SQL
  • Lead the solution implementation for Data Warehouse projects & Data migration from SAP to Azure cloud
  • Create conceptual, logical, and physical data models for both relational and dimensional solutions
  • Effectively managing large sets of data for performance, security, and data governance viewpoint
  • Deep knowledge of wide variety of database systems and data mining techniques
  • Experience to build and test physical data models for a variety of use cases meeting performance and efficiency goals
  • Knowledge of graph databases, streaming analytics, HDInsight
  • Excellent in Logical and Physical Data Modelling using data modelling tools like Erwin, Enterprise Architect, etc.
  • Certifications in Architecture, Analytics, Data Science, Big Data, Azure Cloud
  • Extensive experience in Azure services

Data Science

Primary skills: Python+ML
Years of experience: 2-4

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Mandatory Skills

  • Experience in machine learning with significant experience in text analytics/NLP, algorithms, such as k-NN, Naive Bayes, SVM,
  • Decision Forests, logistic regression, MLPs, RNNs, etc.
  • Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, etc.
  • Experience with databases (PostgreSQL/MySQL/ Oracle/ MongoDB)

Senior Azure Data Engineer

Primary skills: Azure Data Factory, Azure Synapse, Azure Spark, Azure SQL, Azure Data Lake, and Azure App Service
Years of experience: 04-jul

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Mandatory Skills:

  • Experience in designing and hands-on development in cloud-based analytics solutions.
  • Expert level understanding on Azure Data Factory, Azure Synapse, Azure Spark, Azure SQL, Azure Data Lake, and Azure App Service is required.
  • Designing and building of data pipelines for both structured and unstructured data
  • Knowledge of Dev-Ops processes (including CI/CD) and
  • Infrastructure as code is essential.
  • Strong experience in common data warehouse modelling principles
  • Understanding of SAP data structure is added advantage
  • Knowledge in Azure Stream Analytics, Power BI is advantage
  • Knowledge of Microsoft BI Stack (SSRS/SSAS (Tabular with DAX &
  • OLAP with MDX) SSIS) is desirable.
  • Working knowledge of Python, SQL is desirable

UI Developer

Primary skills: Node Js, React
Years of experience: 3+

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Mandatory Skills:

  • Developing front end website architecture and back-end website applications.
  • Designing and developing APIs.
  • Proficiency with fundamental front-end languages such as HTML, CSS, Bootstrap and JavaScript (Angular JS and React JS), Python, PHP, Node JS.
  • Familiarity with databases and web servers

CDP Admin

Primary skills: Hadoop (CDP) ecosystem, Data Lake and Data Warehouse
Years of experience: 4+

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Mandatory Skills:

  • Bachelor’s Degree in Computer Science, Engineering, or related field.
  • 4+ years of overall IT experience with more than 2+ years of experience in Hadoop/Big Data technologies
  • Strong Hands-on experience in working with Cloudera Distribution (CDP) on Hadoop, Kerberos AD integration, upgradation to new CDP versions and migration. CDP experience is a must for this requirement.
  • Strong exp. in Integrating current Hadoop for Authorization & Authentication into Active Directory and Kerberos.
  • Experience in No SQL Databases such as HBase etc.,
  • At least one end-to-end implementation project experience on data processing pipeline using Hadoop (CDP) ecosystem, Data Lake and Data Warehouse
  • CDP certification preferred.

Accounts Executive

Primary skills: Tally, Excel
Years of experience: 3-4

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Mandatory Skills:

  • Experience as a Finance analyst, Tally, Taxation, and Accounting
  • B. Com / MBA / CA Intern / B. Sc
  • Excellent English skills (both written and verbal) required.
  • Basic Excel skills required.