Data Engineer (PL/SQL, Python, Spark, Hadoop & ETL) (Tamil Nadu)

Data Engineer (PL/SQL, Python, Spark, Hadoop & ETL) (Tamil Nadu)

30 Jul
|
Cognizant
|
Tamil Nadu

30 Jul

Cognizant

Tamil Nadu

Job Title: Data Engineer (PL/SQL, Python, Spark, Hadoop & ETL)

Experience: 6 and above
Location: Chennai

Job Summary :-We are looking for a skilled Data Engineer with strong expertise in PL/SQL, Python, Apache Spark, Hadoop, and ETL tools to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, optimizing large-scale data processing, and ensuring high-quality data integration across enterprise systems. The role requires hands-on experience with big data technologies, ETL development, and database programming.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data.
- Develop and optimize complex PL/SQL procedures, functions, packages, and SQL queries.
- Build data processing applications using Python and Apache Spark (PySpark).
- Develop and maintain big data solutions using the Hadoop ecosystem.
- Design, implement, and optimize ETL workflows using enterprise ETL tools.
- Perform data extraction, transformation, validation, and loading from multiple source systems.




- Analyze and resolve data quality issues, performance bottlenecks, and data gaps.
- Optimize batch processing jobs and improve overall system performance.
- Collaborate with data architects, business analysts, and application teams to understand business requirements.
- Ensure data accuracy, consistency, security, and compliance with organizational standards.
- Prepare technical documentation and support production deployments.

Required Technical Skills

- Strong expertise in PL/SQL and SQL performance tuning.
- Hands-on experience with Python for data engineering and automation.
- Strong knowledge of Apache Spark (PySpark).
- Experience working with the Hadoop ecosystem (HDFS, Hive, MapReduce, or YARN).
- Experience with ETL tools such as Informatica, Talend, DataStage, SSIS, Apache NiFi, AWS Glue, or Matillion.
- Good understanding of data warehousing concepts and dimensional modeling.
- Experience working with relational databases such as Oracle, PostgreSQL, SQL Server, or MySQL.
- Solid analytical and problem-solving skills.

📌 Data Engineer (PL/SQL, Python, Spark, Hadoop & ETL) (Tamil Nadu)
🏢 Cognizant
📍 Tamil Nadu

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