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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 modern 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 and problem‑solving skills
- Exposure to unit testing concepts is a plus

Nice to Have (Preferred Skills)

- Exposure to big data tools (Hive, Hadoop ecosystem, or similar)
- Familiarity with cloud platforms (AWS / Azure / GCP)
- Basic knowledge of job orchestration tools (Airflow, etc.)
- Understanding of data pipelines and workflow lifecycle
- Academic or project experience with data engineering or analytics
- Strong willingness to learn and grow in a fast‑paced environment
- Good analytical and problem‑solving skills
- Effective communication and teamwork abilities
- Attention to detail and commitment to quality Job Family Group :Technology
- Job Family : Applications Development
- Time Type : Full time
- Most Relevant Skills :Please see the requirements listed above.
- Other Relevant Skills :For complementary skills, please see above and/or contact the recruiter.

📌 Python and Pyspark Developer (Chennai)
🏢 Citi
📍 Chennai