Senior Data engineer
2 weeks ago
Role Overview:
Seeking an experienced Senior Data Engineer to lead data ingestion, transformation, and optimization initiatives using the modern Apache and Azure data stack. The role involves working on scalable pipelines, large-scale distributed systems, and data lake management.
Core Responsibilities:
- Build and manage high-volume data pipelines using Spark/Databricks.
- Implement ELT frameworks using Azure Data Factory/Synapse Pipelines.
- Optimize large-scale datasets in Delta/Iceberg formats.
- Implement robust data quality, monitoring, and governance layers.
- Collaborate with Data Scientists, Analysts, and Business stakeholders.
Technical Stack:
- Big Data: Apache Spark, Kafka, Hive, Airflow, Hudi/Iceberg
- Cloud: Azure (Synapse, ADF, ADLS Gen2), Databricks, AWS (Glue/S3)
- Languages: Python, Scala, SQL
- Storage Formats: Delta Lake, Iceberg, Parquet, ORC
- CI/CD: Azure DevOps, Terraform (infra as code), Git
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