Python with Spark Developer (5.1-7 years)-Chennai

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

We believe that diversity of people and perspective gives us a competitive advantage.

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 strong 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 – Client Engagement and Financial Securities 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. 

• 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