Job highlights

- Proficient in Python and big-data frameworks like Spark, experienced with SQL/HQL, familiar with Cloudera or Informatica BDM

- Design, develop, test, deploy, and maintain large-scale data pipelines; develop ETL processes; troubleshoot data quality and performance issues; optimize workflows

Roles and Responsibilities :

- Design, develop, test, deploy, and maintain large-scale data pipelines using Cloudera ecosystem.

- Collaborate with cross-functional teams to gather requirements and design solutions for complex business problems.

- Develop ETL processes to extract, transform, and load data from various sources into a centralized repository.

- Troubleshoot data quality, performance tuning, and scalability issues.

- Ensure data quality and integrity by implementing robust testing and validation procedures.





- Optimize data processing workflows for improved efficiency and performance.

Job Requirements :

- Strong proficiency in Python programming language with experience working on big-data frameworks like Spark.

- Experience with SQL querying languages such as HQL or equivalent.

- Familiarity with Cloudera or Informatica BDM is desirable.

- Ability to work collaboratively with cross-functional teams to gather requirements and design solutions.

- Robust problem-solving skills and attention to detail.

- Experience with data engineering tools and technologies is an asset.

📌 Data Engineer (Chennai)
🏢 Synechron
📍 Chennai