Cognizant Data Engineer

Technical Lead

• Qualification

  • Bachelors in science, engineering or equivalent

• Responsibility

  • Project Planning and Setup:
    • Understand the project scope, identify activities/tasks, task level estimates, schedule, dependencies, risks and provide inputs to Module Lead for review.
    • Provide inputs to testing strategy, configuration, deployment, hardware/software requirement etc.
    • Review plan and provide feedback on gaps, timeline and execution feasibility etc as required in the project.
    • Participate in KT sessions conducted by customer/other business teams and provide feedback on requirements.
  • Requirement Understanding And Analysis
    • Analyze functional/non-functional requirements and seek clarifications for better understanding of requirements.
    • Based on understanding of system upstream & downstream, provide feedback and inputs on gaps in requirements and technical feasibility of requirements.
  • Design
    • Prepare the LLD/detailed design documents based on HLD and briefing from Module Lead.
    • Seek inputs from the developers on specific modules as applicable.
    • Consolidate all modules and provide to Module Lead/Architects/Designers for review.
    • Suggest changes in design on technical grounds.
  • Develop
    • Prepare components inventory for the code to be developed tying it to the non-functional requirements.
    • Identify tools and technologies to be used in the project as well as reusable objects that could be customized for the project.
  • Coding
    • Follow coding standards and best practices to develop code and check code quality.
    • Share developed code with supervisor for review.
    • Rework on the code based on inputs if required.
    • Perform complex integration.
  • Testing Management
    • Develop unit test cases for each module.
    • Conduct/guide conducting of unit and integration testing and fix defects.
    • Review/approve code to be moved to the testing environment.
  • Configuration Management
    • Maintain versions of the code or consolidate versions maintained by the Developers.
    • Provide support as required to the Administrators during configuration, code backups, deployment etc.
  • Deployment
    • Assess and create deployment/rollback plan.
    • Validate if all the components have been migrated and the right version is checked in.
    • Maintain deployment tracker.
  • Project Execution Monitoring & Closure
    • Monitor work of the developers and share work achieved with them.
    • Provide guidance through SDLC.
    • In case of change requests, provide inputs on the plan.
  • Service Support And Maintenance
    • Provide support for 1 week and hand over to the production team.
    • Identify if the incoming request is a service request/defect during the warranty or an incident.
    • If it is a code defect in the warranty, highlight to Lead and initiate defect fix process.
    • Post warranty, support in transition to maintenance team.
  • Knowledge Management
    • Post release participate in project review call and discuss points on what went well and what didn't.
    • Create and update knowledge articles (case studies, lessons learned) in the knowledge management repository.
    • Guide developers in creating such documents.

• Must Have Skills

  • Spark in Scala
  • SQL
  • Azure DevOps
  • Python
  • New Prod Development-T&H

• Good To Have Skills

  • Synapse Pipelines
  • Azure CLI
  • Azure PowerShell
  • Azure Synapse SQL Pool
  • Azure Synapse Spark Pool
  • Structured Streaming
  • Kafka
  • Azure Monitor
  • Azure Data Lake Store
  • Azure Key Vault
  • PySpark
  • Azure Event Hub