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1 week ago
We are seeking a highly skilled Data Engineer to lead the design, development and optimization of our data ingestion, transformation and governance frameworks.
The ideal candidate will have deep expertise in building scalable data pipelines using cloud-native technologies such as Azure Data Factory, Databricks and Synapse Analytics.
Main Responsibilities- Data Pipeline Development: Design and implement robust, secure and scalable data pipelines using Azure Data Factory, Databricks, Synapse Analytics and other relevant tools.
- ETL/ELT Processes: Develop and maintain ETL/ELT processes for structured and unstructured data.
- Change Data Capture: Implement Change Data Capture (CDC) and streaming pipelines for real-time data analytics.
- Cloud Environment Management: Optimize performance and cost across data workloads and cloud environments.
- Experience: 4+ years in data engineering with at least 2+ years on Azure cloud platform.
- Skills: Hands-on experience with Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse, Purview and proficiency in SQL, PySpark, Python and data orchestration tools.
- Snowflake and BigQuery: Familiarity with Snowflake, BigQuery, Redshift or AWS Glue.
- Data Versioning and GitOps: Experience with data versioning and GitOps for data.
- Data Observability: Working knowledge of data observability, lineage, cataloguing and data quality.
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Data Engineer
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