Senior Data Engineer - Azure Databricks & Delta Lake

Akaasa Technologies

Houston (TX)

On-site

USD 120,000 - 180,000

Part time

14 days+

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Job summary

Akaasa Technologies in Houston, TX seeks a Senior Data Engineer with deep hands-on expertise in Azure Databricks to design, develop, and manage enterprise-scale data platforms, using Delta Lake, PySpark, SQL and Scala to build scalable pipelines and modern data architectures.

You will migrate legacy workflows to Databricks-based solutions, implement data governance with Unity Catalog, and operate production pipelines with Databricks Workflows and Jobs, plus CI/CD automation through Azure DevOps.

Qualifications

  • Strong hands-on experience with Azure Databricks engineering and development.
  • Experience building data pipelines using PySpark, SQL, Scala, Delta Lake.
  • Knowledge of Databricks Workflows/Jobs for production orchestration and Unity Catalog governance.

Responsibilities

  • Design, develop, and optimize end-to-end data pipelines using Azure Databricks, Delta Lake, PySpark, SQL and Scala.
  • Build and manage production workflows using Databricks Workflows and Jobs for orchestration.
  • Lead migration of legacy data platforms to Databricks-based architectures.
  • Convert legacy ETL workflows into scalable PySpark/SQL solutions.
  • Implement data governance, security, and lineage using Unity Catalog.
  • Develop and maintain CI/CD processes for Databricks deployments via Azure DevOps and YAML pipelines.

Skills

Azure Databricks
PySpark
SQL
Scala
Data Governance

Tools

Databricks Workflows
Databricks Jobs
Unity Catalog
Azure DevOps
CI/CD Pipelines

Job description

Akaasa Technologies in Houston, TX seeks a Senior Data Engineer with deep hands-on expertise in Azure Databricks to design, develop, and manage enterprise-scale data platforms, using Delta Lake, PySpark, SQL and Scala to build scalable pipelines and modern data architectures.

You will migrate legacy workflows to Databricks-based solutions, implement data governance with Unity Catalog, and operate production pipelines with Databricks Workflows and Jobs, plus CI/CD automation through Azure DevOps.

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