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Job Overview:
You will work under the guidance of senior engineers and collaborate with data teams to build reliable data pipelines and contribute to analytics and reporting solutions.
Key Responsibilities
Development & Engineering
- Assist in developing and maintaining data pipelines using Python and PySpark
- Support ETL/ELT workflows for batch data processing
- Write clean, readable, and well‑structured Python code following best practices
- Perform basic data transformations, aggregations, and validations
- Debug and troubleshoot pipeline issues with guidance from senior developers
Data & Platform
- Work with structured and semi‑structured data formats (CSV, JSON, Parquet, etc.)
- Assist in integrating data from databases, APIs, and cloud storage systems
- Help ensure data quality and consistency within pipelines
- Support migration of legacy scripts to up-to-date data platforms
Learning & Collaboration
- Collaborate with team members on development tasks and code reviews
- Participate in knowledge‑sharing and training sessions
- Learn and adopt new tools, frameworks, and best practices
- Assist in documenting data workflows and technical processes
Required Skills & Qualifications
Technical Skills
- Basic to intermediate proficiency in Python
- 4 -7 years of experience
- Exposure to Apache Spark / PySpark (internship or project experience is acceptable)
- Understanding of fundamental programming and data structures
- Basic knowledge of SQL and relational databases
- Familiarity with data processing concepts and ETL fundamentals
- Awareness of Linux/Unix command line is a plus
Engineering Fundamentals
- Understanding of coding best practices and version control (Git)
- Basic debugging
📌 Python and Pyspark Developer (Chennai)
🏢 Citi
📍 Chennai