
Data Engineer
19 hours ago
Key Responsibilities :
- Develop robust data pipelines and ETL workflows using Python and Apache Spark.
- Orchestrate complex workflows using Databricks Workflows or Azure Data Factory.
- Translate business rules, retention metadata, and data governance policies into reusable, modular,
and scalable pipeline components.
- Ensure adherence to data privacy, security, and compliance standards (e.g., GDPR, HIPAA, etc.
- Collaborate with cross-functional teams including data architects, analysts, and business stakeholders to align data solutions with business goals.
Required Skills & Qualifications :
- 4 to 7 years of experience in data engineering
- Expert-level proficiency in Python, Apache Spark, and Delta Lake.
- Strong experience with Databricks Workflows and/or Azure Data Factory.
- Deep understanding of data governance, metadata management, and business rule integration.
- Strong communication skills.
- Experience with cloud platforms such as Azure.
Preferred Qualifications :
- Experience with CI/CD pipelines and DevOps practices in data engineering.
- Familiarity with data cataloging and data quality tools.
- Certifications in Azure Data Engineering or related technologies.
- Exposure to enterprise data architecture and modern data stack tools
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