Data Engineer 4 Openings

Were Hiring: Data Engineer | 4 Openings

Location: Remote, India
Employment type: Contract
Experience:
Budget:
Working hours: Candidates should be able to overlap with U.S. Central Time as much as possible.

About the role

We are looking for Data Engineers to build reliable pipelines on Azure and Databricks. You will transform raw data from the landing zone into trusted bronze, silver, and gold tables, then deliver well-modeled datasets for analytics and reporting.

Key responsibilities

• Build and maintain ingestion and transformation pipelines using Databricks, PySpark, Spark SQL, and Delta Lake.
• Design data models for silver and gold layers, including dimensional models, star schemas, and slowly changing dimensions.
• Schedule, monitor, and troubleshoot pipelines with Databricks Workflows and Azure Data Factory.
• Implement testing and deployment processes using Azure DevOps or a similar CI/CD tool.
• Add data quality checks, documentation, and monitoring across the pipeline.
• Deliver analytics-ready datasets for Power BI and other downstream users.
• Work with analysts, data scientists, and business stakeholders to turn requirements into dependable data solutions.

Required skills

• 6- 10 years of data engineering or closely related experience.
• Hands-on Databricks, PySpark or Spark SQL, and Delta Lake experience.
• Experience building bronze, silver, and gold pipelines end to end.
• Strong SQL and data modeling skills, including dimensional modeling and star or snowflake schemas.
• Practical experience with Azure Data Factory, ADLS Gen2, and Azure Synapse Analytics.
• Ability to investigate data quality and pipeline performance issues.

Good to have

Unity Catalog, Power BI, Azure Key Vault, Terraform or ARM/Bicep, Airflow, and relevant Azure or Databricks certifications.