Data Engineer
Zensar
Data Engineer
Zensar
Global IT services for digital transformation
1. Data Engineer:
Core Skills and Knowledge:
- 7-9 years of experience in data engineering.
- Hands-on experience with Databricks (Delta Lake, notebooks, Databricks Workflows).
- Strong programming skills in Python and SQL.
- Working knowledge of Apache Spark (PySpark preferred) for data transformation.
- Experience with either AWS (S3, Glue, EMR) or Azure (ADLS Gen2, Data Factory, Synapse) services.
- Understanding of data modeling concepts (star schema, dimensional modeling).
- Familiarity with version control (Git) and basic CI/CD practices.
Desirable Skills:
- Databricks Certified Data Engineer Associate (or working toward it).
- Exposure to streaming data pipelines (Structured Streaming, Kafka, Kinesis, or Event Hubs).
- Familiarity with orchestration tools (Airflow, Databricks Workflows).
- Basic understanding of data governance and security practices (PII masking, access control).
- Exposure to Power BI or other BI tools for understanding downstream
Digital solutions and IT services company that partners with global organizations to drive digital transformation. Its offerings include intelligent automation, analytics, hyperconverged infrastructure, and digital application development and maintenance, delivered through long-term contracts, project-based engagements, and managed services. Indigo Slate handles virtual event creation. Zensar’s Living AI integrates artificial intelligence into business processes to boost outcomes. Unlike many competitors, it emphasizes reducing capital expenditure (Capex) and operating expenditure (Opex), simplifying vendor management, and improving efficiency through automation. The overall goal is to help clients adapt to the digital landscape, optimize technology infrastructure, and achieve higher operational efficiency.
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