- 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 - Positive 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 - Strong communication and stakeholder management skills
Mandatory Education: 15 Years Full-Time Education.
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📌 Data Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru
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