
Lead Data Engineer
3 weeks ago
Key Responsibilities :
- Cloud Data Architecture : Architect and deploy large-scale data solutions on Azure, AWS, or GCP.
- CI/CD for Data Pipelines : Define and implement CI/CD strategies using Terraform, Azure DevOps, or GitHub Actions.
- Data Governance : Implement and maintain data cataloging, lineage tracking, and access control solutions (Unity Catalog, Collibra, Alation).
- Compliance & Security : Ensure compliance with GDPR, CCPA, and other industry-specific data security and privacy standards.
- Scalability & Performance : Develop strategies for distributed computing, parallel processing, and caching mechanisms to improve performance.
- Collaboration : Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver robust data :
- 7+ years of experience in data engineering, cloud data platforms, and distributed systems.
- Strong hands-on experience with Databricks and Apache Spark.
- Proficiency with at least one major cloud provider (Azure, AWS, GCP).
- Experience with CI/CD pipelines and IaC tools (Terraform, Azure DevOps, GitHub Actions).
- Familiarity with data governance tools (Unity Catalog, Collibra, Alation).
- Strong knowledge of data privacy and compliance frameworks (GDPR, CCPA, HIPAA preferred).
- Proven ability to optimize large-scale distributed systems for performance and reliability.
- Excellent problem-solving skills, strong communication, and collaborative :
- Knowledge of Kubernetes and containerized workloads.
- Experience with streaming platforms (Kafka, Event Hubs, Kinesis).
- Exposure to machine learning workflows on Databricks.
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