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

Capco
Chennai, IND
Mid · 5–7 years experience
Discovered 2 weeks ago
confluencedockerflaskgitjenkinslinux
Free

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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

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