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Data Engineer Position
1 day ago
We are seeking a skilled Data Engineer to join our data team as we build an enterprise data platform from the ground up. This role is crucial to our mission of transforming raw data into valuable insights that drive decision-making across the organization.
You will be responsible for developing, managing, and optimizing data pipelines, data models, and ensuring data quality. The ideal candidate will have a solid background in SQL, Python, and experience with cloud services.
Familiarity with data warehousing solutions and strong understanding of ETL processes and data pipeline development are must-haves. Experience working in distributed environments, including clustering and sharding, is also desirable.
Key Responsibilities- Data Ingestion and Transformation: Design, develop, and maintain scalable ETL processes to support data ingestion and transformation. Utilize Apache Kafka and AWS DMS for real-time Change Data Capture (CDC), ensuring continuous and reliable data streams into the data lake.
- Data Processing: Leverage Apache Spark for large-scale data processing and transformation tasks within the data lake. Optimize transformation jobs for performance and cost-efficiency to ensure scalability and reliability.
- Data Modeling: Use DBT to create robust and reusable data models aligned with the business needs of various departments. Implement data marts and dimensional models to support analytical queries and reporting.
- Data Warehousing: Develop and maintain scalable data warehouses using PostgreSQL and Snowflake. Ensure the warehouse architecture supports efficient querying, reporting, and analysis.
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