Design, build, and optimize scalable data pipelines and analytics solutions across relational databases, NoSQL systems, and cloud-based data lake environments.
Requirements
- 5–10 years of hands-on data engineering experience
- Advanced SQL expertise
- Strong experience with Spark, Hive, Hadoop
- Hands-on experience with Azure cloud data tools
- Experience building Databricks pipelines
- Experience with MSBI (SSIS/SSAS), Informatica, Oracle, SQL Server
- Experience with batch and real-time data processing frameworks
- Experience with data modeling and schema design
- Experience working with APIs and web services
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