Phyton with Spark Developer

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 new 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