Role: Data Engineer Experience: 4 to 12 Years Location: PAN India Must Have Skills - Strong experience in Python, SQL, and Spark

- Hands-on experience with ETL/ELT pipeline development
- Expertise in Data Modeling, Data Warehousing, and Data Lakes
- Experience with Cloud Platforms (AWS/Azure/GCP)
- Proficiency in Databricks, Hadoop, or Snowflake
- Strong knowledge of Apache Spark, Kafka, Airflow, or similar data tools
- Experience in building scalable and high-performance data pipelines
- Good understanding of CI/CD, Git, and Agile methodologies Responsibilities - Design, develop, and maintain scalable data pipelines.
- Build and optimize data ingestion, transformation, and processing frameworks.
- Develop data solutions for analytics, reporting,



and machine learning use cases.
- Ensure data quality, governance, security, and performance optimization.
- Collaborate with cross-functional teams to deliver end-to-end data solutions. Preferred - Cloud certifications (AWS/Azure/GCP)
- Experience with real-time data processing and streaming technologies
- Solid communication and stakeholder management skills Mandatory Education: 15 Years Full-Time Education. Provide your feedback on BizChat Show sample JD for senior roleCustomize JD for healthcare sectorTailor JD for financial services

📌 Data Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru