Position Purpose:

- Overall, 5-7 years of experience as a Python Developer with Spark.

- The Python/PySpark Developer will design, develop, test, and maintain high-performance data-processing pipelines using robust Python, pyspark and SQL skills.

- You will transform raw market, trade, and client data into trusted, consumable data-sets that feed downstream analytics, reporting, and machine-learning models used by the CEFS ClientEngagementandFinancialSecurities franchise.

- Sound knowledge of Agile (Scrum/Kanban).

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.

- Valuable 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.

- Valuable 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

📌 Python Developer (Chennai)
🏢 Nexucon Consultancy Services
📍 Chennai