Job Description

- Help design, build and continuously improve the clients online platform.

- Research, suggest and implement new technology solutions following best practices/standards.

- Take responsibility for the resiliency and availability of different products.

- Be a productive member of the team.

Requirements

- 8+ years of experience in Data Engineering.

- Experienced Databricks Engineer to design, develop, and maintain scalable data solutions using Databricks and cloud technologies.

- Develop and maintain data pipelines using Databricks, PySpark, and SQL.

- Work with Delta Lake, Databricks Workflows, and Jobs.

- Build and optimize ETL/ELT pipelines for large-scale data processing.

- Collaborate with Data Engineers, Architects, and business stakeholders.





- Troubleshoot and optimize pipeline and data-processing performance.

- Implement data quality, monitoring, and engineering best practices.

- Robust hands-on experience with Databricks and PySpark.

- Good knowledge of SQL, ETL/ELT, and Data Warehousing.

- Experience with Azure, AWS, or GCP.

- Familiarity with Git, CI/CD, and Dev Ops practices.

- Strong communication and problem-solving skills.

- Experience with Azure Data Factory, Databricks Unity Catalog, Terraform, and streaming technologies.

Benefits

- A challenging, innovating environment.

- Opportunities for learning where needed.

Requirements
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📌 AWS DataBricks Engineer (Bengaluru)
🏢 GeekSoft Consulting
📍 Bengaluru