Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day to day project execution.

Outcomes:

     Interpret the application feature and component designs to develop the same in accordance with specifications.      Code debug test document and communicate product component and feature development stages.      Validate results with user representatives integrating and commissions the overall solution.      Select and create appropriate technical options for development such as reusing improving or reconfiguration of existing components while creating own solutions for new contexts      Optimises efficiency cost and quality.      Influence and improve customer satisfaction      Influence and improve employee engagement within the project teams 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      Percent of voluntary attrition On time completion of mandatory compliance trainings

Outputs Expected:

Code:

Code as per the design Define 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
requirements
test cases and results

Configure:

Define and govern configuration management plan Ensure compliance from the team

Test:

Review/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 deeper understanding of the business problem being addressed for the client Learn more about the customer domain and identify opportunities to provide value addition to customers Complete relevant domain certifications

Manage Project:

Support Project Manager with inputs for the projects Manage delivery of modules Manage complex 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 and size estimation and plan resources 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 and data models

Interface with Customer:

Clarify requirements and provide guidance to Development Team Present design options to customers Conduct product demos Work closely with customer architects for finalizing design

Manage Team:

Set FAST goals and provide feedback Understand aspirations of the team members and provide guidance
opportunities
etc Ensure team members are upskilled Ensure team is engaged in project Proactively identify attrition risks and work with BSE on retention measures

Certifications:

Obtain relevant domain and technology certifications

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 resources required for developing / debugging features / components      Perform and evaluate test in the customer or target environments      Make quick decisions on technical/project related challenges      Manage a team mentor and handle people related issues in team   Have the ability to maintain high motivation levels and positive dynamics within the team.   Interface with other teams designers and other parallel practices   Set goals for self and team. Provide feedback for 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 and answer 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 timely with a quality product.   Estimate time and effort of resources required for developing / debugging features / components

Knowledge Examples:

     Appropriate software programs / modules      Functional & 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) Broad knowledge of customer domain and deep knowledge 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.