Responsibilities Direct Responsibilities · Design & develop robust ingestion, transformation, and enrichment pipelines with Python, PySpark, and SQL.

- Write and optimize complex SQL queries, analytical UDFs, and window functions for data aggregation and reporting.
- Collaborate with CEFS data architects, data scientists, and business analysts to translate functional requirements into technical specifications.
- Unit‑test, integrate‑test, and review code.
- Maintain CI/CD pipelines (Git, Jenkins, Docker) for automated build, test, and deployment of jobs.
- Monitor production workloads and troubleshoot performance bottlenecks, memory issues, and job failures.
- Document data lineage, pipeline design, and operational run‑books in Confluence/SharePoint. · Keep up to date with latest technologies and trends and provide input, expertise and recommendations.

Contributing

Responsibilities · Contribute towards innovation (e.g. AI/ML); suggest recent technical practices for efficiency improvement.

- Participate in Agile ceremonies (sprint planning, daily standups, retrospectives) and help groom the backlogs.
- Mentor junior engineers and champion best practices in Python coding, Spark optimization, and data‑engineering patterns.
- Evaluate emerging technologies and deliver proof‑of‑concepts for CEFS. Technical & Behavioral Competencies · Resourceful to quickly understand complexities involved and provide the way forward. · Good experience in technical analysis of n-tier applications with multiple integrations using object oriented, APIs & Microservices approaches. · Strong knowledge about design patterns and development principles. · Inclination and prior experience of working across SQL,



Python and ETL. · Strong Hands-on experience - Python (NumPy, pandas, Python Frameworks, Restful APIs, MS-SQL or Oracle. · PySpark - DataFrames, Spark SQL, Structured Streaming, performance tuning (partitioning, caching, broadcast joins). · Advanced SQL – complex queries, stored procedures, query optimization. · Good Knowledge and experience to use Python packages such as Pandas, NumPy, etc. for cleaning up of Data, Data Wrangling, Analysis of Data and Visualization of Data. · Good experience in development and maintenance of code/scripts in both functional and technical specifications of all applications component, bug fixing and production support. · Good knowledge on Linux/Unix environment (basic commands, shell scripting, etc.), testing phases, documentation and new framework. · Some experience of working with build tools like Maven & DevOps tools like Bitbucket, Jenkins. · Knowledge of Agile, Scrum, DevOps. · Development experience in Data Engineering environment. · Ability & willingness to learn & work on diverse technologies (languages, frameworks, and tools). · Self-motivated, good interpersonal skills and inclination to constantly upgrade new technologies and frameworks. · Good communication and co-ordination skills.

Specific Qualifications: · Good to have knowledge of front-end technologies preferably Flask.

Skills Referential (Required knowledge, skills and abilities) Technical Skills:

- Python
- Pyspark
- SQL
- ETL Behavioral Skills: · Ability to synthetize / simplify · Ability to collaborate / Teamwork · Attention to detail / rigor · Ability to deliver / Results driven Education Level: Bachelor’s degree or equivalent Location: Chennai

📌 Phyton with Spark Developer (Chennai)
🏢 Infotel UK
📍 Chennai