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Lead I - Software Engineering - Adf

India

    5 - 7 Years
    1 Opening
    Bangalore, Chennai, Kochi, Trivandrum


Role description

Role Proficiency:

Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities

Outcomes:

  • Interpret the application/feature/component design to develop the same in accordance with specifications.
  • Code debug test document and communicate product/component/feature development stages.
  • Validate results with user representatives; integrates and commissions the overall solution
  • Select appropriate technical options for development such as reusing improving or reconfiguration of existing components or creating own solutions
  • Optimises efficiency cost and quality.
  • Influence and improve customer satisfaction
  • Set FAST goals for self/team; provide feedback to FAST goals of team members

Measures of Outcomes:

  • Adherence to engineering process and standards (coding standards)
  • Adherence to project schedule / timelines
  • Number of technical issues uncovered during the execution of the project
  • Number of defects in the code
  • Number of defects post delivery
  • Number of non compliance issues
  • On time completion of mandatory compliance trainings

Outputs Expected:

Code:

  • Code as per design
  • Follow coding standards
    templates and checklists
  • Review code – for team and peers


Documentation:

  • Create/review templates
    checklists
    guidelines
    standards for design/process/development
  • Create/review deliverable documents. Design documentation
    r and requirements
    test cases/results


Configure:

  • Define and govern configuration management plan
  • Ensure compliance from the team


Test:

  • Review and create unit test cases
    scenarios and execution
  • Review test plan created by testing team
  • Provide clarifications to the testing team


Domain relevance:

  • Advise Software Developers on design and development of features and components with a deep understanding of the business problem being addressed for the client.
  • Learn more about the customer domain identifying opportunities to provide valuable addition to customers
  • Complete relevant domain certifications


Manage Project:

  • Manage delivery of modules and/or manage user stories


Manage Defects:

  • Perform defect RCA and mitigation
  • Identify defect trends and take proactive measures to improve quality


Estimate:

  • Create and provide input for effort estimation for projects


Manage knowledge:

  • Consume and contribute to project related documents
    share point
    libraries and client universities
  • Review the reusable documents created by the team


Release:

  • Execute and monitor release process


Design:

  • Contribute to creation of design (HLD
    LLD
    SAD)/architecture for Applications/Features/Business Components/Data Models


Interface with Customer:

  • Clarify requirements and provide guidance to development team
  • Present design options to customers
  • Conduct product demos


Manage Team:

  • Set FAST goals and provide feedback
  • Understand aspirations of team members and provide guidance
    opportunities
    etc
  • Ensure team is engaged in project


Certifications:

  • Take relevant domain/technology certification

Skill Examples:

  • Explain and communicate the design / development to the customer
  • Perform and evaluate test results against product specifications
  • Break down complex problems into logical components
  • Develop user interfaces business software components
  • Use data models
  • Estimate time and effort required for developing / debugging features / components
  • Perform and evaluate test in the customer or target environment
  • Make quick decisions on technical/project related challenges
  • Manage a Team mentor and handle people related issues in team
  • Maintain high motivation levels and positive dynamics in the team.
  • Interface with other teams designers and other parallel practices
  • Set goals for self and team. Provide feedback to team members
  • Create and articulate impactful technical presentations
  • Follow high level of business etiquette in emails and other business communication
  • Drive conference calls with customers addressing customer questions
  • Proactively ask for and offer help
  • Ability to work under pressure determine dependencies risks facilitate planning; handling multiple tasks.
  • Build confidence with customers by meeting the deliverables on time with quality.
  • Estimate time and effort resources required for developing / debugging features / components
  • Make on appropriate utilization of Software / Hardware’s.
  • Strong analytical and problem-solving abilities

Knowledge Examples:

  • Appropriate software programs / modules
    • Functional and technical designing
    • Programming languages – proficient in multiple skill clusters
    • DBMS
    • Operating Systems and software platforms
    • Software Development Life Cycle
    • Agile – Scrum or Kanban Methods
    • Integrated development environment (IDE)
    • Rapid application development (RAD)
    • Modelling technology and languages
    • Interface definition languages (IDL)
    • Knowledge of customer domain and deep understanding of sub domain where problem is solved

    Additional Comments:

    The ADF Developer is primarily responsible for designing, developing, implementing, and maintaining data integration solutions using Microsoft Azure Data Factory (ADF) as the core technology. Experience with Azure Databricks (ADB) is a plus. This role demands strong expertise in ADF, ADB, ETL processes, and data engineering within the Azure cloud ecosystem to support the organization’s data management and analytics initiatives. Key Responsibilities: Solution Development: • Collaborate with data architects, analysts, and stakeholders to gather requirements and design robust data integration solutions. • Develop and implement ETL processes, data pipelines, and workflows primarily using Azure Data Factory. • Leverage ADB where applicable to support advanced data transformation or analytics use cases. • Write and optimize code in languages such as Python, SQL, and Scala for efficient processing of large data sets. ADF-Focused Implementation: • Configure and deploy ADF pipelines, datasets, and linked services to manage data movement and transformation. • Use Azure Databricks as needed for scalable data processing, though ADF remains the central orchestration tool. • Ensure reliable and timely execution of data workflows through proper scheduling and orchestration. Data Quality and Testing: • Develop and execute test plans to validate data quality, accuracy, and completeness. • Troubleshoot data pipeline issues and ensure ETL reliability across the board. • Implement robust data validation and error-handling mechanisms. Performance Optimization: • Identify and resolve performance bottlenecks within ADF pipelines and SQL/Databricks queries. • Continuously optimize data processing to enhance speed, scalability, and efficiency. Collaboration: • Work cross-functionally with data scientists, analysts, and business users to align on requirements and deliverables. • Collaborate with DevOps and infrastructure teams for smooth CI/CD and deployment practices. Documentation: • Maintain clear and up-to-date documentation of technical designs, data flows, and pipeline logic. • Ensure documentation is shared and accessible for future enhancements and support. Training and Support: • Support users in understanding the data integration solutions developed. • Resolve data pipeline or processing issues with minimal impact on business operations. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. • 7+ years of strong, hands-on experience with Azure Data Factory. • Familiarity or working experience with Azure Databricks is a big plus. • Proficiency in Python, SQL, and/or Scala. • Solid understanding of ETL processes, data modeling, and data warehousing. • Experience with Azure cloud technologies. • Strong problem-solving, communication, and collaboration skills. Preferred Qualifications: • Microsoft Certified: Azure Data Engineer Associate or similar certification. • Experience with big data tools such as Spark or Hadoop. • Familiarity with data governance, security, and compliance. • Knowledge of Agile practices and version control tools like Git. • Exposure to projects in domains like finance, healthcare, or retail.

Skills

Adf,Adb,Ms Sql Server


About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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