Data Engineer - GCH
Zensar Technologies (company site, opens in a new tab)5–8 yrsOn-siteDirect career pageEst. 12–20 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain data engineering pipelines using Databricks, Apache Spark, and cloud services (AWS or Azure).
- Develop data transformation workflows and manage data modeling following dimensional modeling concepts.
- Implement version control and CI/CD practices for data solutions, supporting data governance and security requirements.
Minimum Requirements
- 5-8 years of data engineering experience.
- Proficient in Python, SQL, and Apache Spark (PySpark preferred).
- Experience with Databricks including Delta Lake and Databricks Workflows.
- Hands-on experience with cloud data services on AWS (S3, Glue, EMR) or Azure (ADLS Gen2, Data Factory, Synapse).
Ideal Candidate Profile
- Experienced with Databricks Certified Data Engineer Associate certification or pursuing it.
- Knowledgeable in streaming data pipelines using Structured Streaming, Kafka, Kinesis, or Event Hubs.
- Familiar with orchestration tools like Airflow or Databricks Workflows and basic data governance/security practices.