Data Engineering Lead
3 days ago
Key Responsibilities
- Design and implement scalable data pipelines using technologies such as Apache Spark, Kafka, and AWS Glue.
- Develop and maintain ETL processes to ingest, transform, and store structured and unstructured data.
- Optimize data storage solutions, including data lakes, data warehouses, and relational databases.
- Collaborate with cross functional teams to ensure data availability and quality.
- Work with big data technologies such as Hadoop, Snowflake, or Big Query for large-scale data processing.
- Monitor and troubleshoot data pipeline failures, optimizing performance and reliability.
- Implement security best practices for data storage, access control, and encryption.
- Stay up to date with the latest data engineering trends, tools, and frameworks to enhance the data ecosystem.
Required skills:
- SQL & Database Management
- Data Warehousing
- ETL (Extract, Transform, Load)
- Big Data Technologies
- Programming (Python, R languages, Scala)
- Cloud Platforms (AWS, Azure)
- Data Governance & Security
Nice to Have:
Machine learning algorithms, deep learning, data handling and analysis.
Experience in BI tools for data visualization.
Domain experience in Insurance / Health care industry
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