Role & responsibilities

- Design, develop, and maintain scalable data pipelines using Databricks and PySpark.
- Work with large-scale structured and unstructured data from various sources.
- Optimize data workflows for performance and reliability.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Implement data quality checks, monitoring, and alerting mechanisms.
- Ensure data security and compliance with governance policies.
- Participate in code reviews and contribute to best practices in data engineering

Preferred candidate profile

- 8-12 years of experience in data engineering or related roles.
- Strong hands-on experience with Databricks and Apache Spark (PySpark).
- Proficiency in Python and SQL.
- Experience with cloud platforms such as Azure, AWS, or GCP (preferably Azure).
- Solid understanding of ETL/ELT processes, data warehousing, and data modeling.
- Familiarity with Delta Lake and Parquet formats.
- Experience with CI/CD pipelines and version control (e.g., Git).
- Excellent problem-solving and communication skills.

Contact: Email: [email protected]

Notice Period: Immediate to 1 Month

Location: Remote Chance

📌 Data Engineer (Chennai)
🏢 Propelis Group
📍 Chennai