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Sr Data Engineer- Databricks

Aptus Data Labs

Role overview

Qualifications

  • 5+ years of experience in data engineering roles
  • Proven expertise in Databricks, Delta Lake, and Apache Spark (PySpark preferred)
  • Deep understanding of Unity Catalog for fine-grained data governance and lineage tracking
  • Proficiency in SQL for large-scale data manipulation and analysis

Responsibilities

  • Design, implement, and optimize scalable data pipelines using Databricks and Apache Spark
  • Architect data lakes using Delta Lake, ensuring reliable and efficient data storage
  • Manage metadata, security, and lineage through Unity Catalog for governance and compliance
  • Collaborate with ML engineers and data scientists on LLM-based AI/GenAI project pipelines

About the company

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Aptus Data Labs

Company details

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Job description

Exp- 5+ yrs

Location- Remote (Preferred candidates to be in bangalore)

Notice- Looking candidates with to be joining within 30 Days

Key Responsibilities:

  • Design, implement, and optimize scalable data pipelines using Databricks and Apache Spark.

  • Architect data lakes using Delta Lake, ensuring reliable and efficient data storage.

  • Manage metadata, security, and lineage through Unity Catalog for governance and compliance.

  • Ingest and process streaming data using Apache Kafka and real-time frameworks.

  • Collaborate with ML engineers and data scientists on LLM-based AI/GenAI project pipelines.

  • Apply CI/CD and DevOps practices to automate data workflows and deployments (e.g., with GitHub Actions, Jenkins, Terraform).

  • Optimize query performance and data transformations using advanced SQL.

  • Implement and uphold data governance, quality, and access control policies.

  • Support production data pipelines and respond to issues and performance bottlenecks.

  • Contribute to architectural decisions around data strategy and platform scalability.



Requirements

Required Skills & Experience:

  • 5+ years of experience in data engineering roles.
  • Proven expertise in Databricks, Delta Lake, and Apache Spark (PySpark preferred).
  • Deep understanding of Unity Catalog for fine-grained data governance and lineage tracking.
  • Proficiency in SQL for large-scale data manipulation and analysis.
  • Hands-on experience with Kafka for real-time data streaming.
  • Solid understanding of CI/CD, infrastructure automation, and DevOps principles.
  • Experience contributing to or supporting Generative AI / LLM projects with structured or unstructured data.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and data services.
  • Strong problem-solving, debugging, and system design skills.
  • Excellent communication and collaboration abilities in cross-functional teams.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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