Data Engineer( DataBricks & Snowflake) at Andishi

We’re looking for a skilled Data Engineer with strong Databricks administration experience to help build, manage, and improve cloud-based data solutions.

The project involves maintaining Databricks environments, developing scalable data pipelines, integrating data platforms, and improving overall data processing performance and reliability.

We need someone who is comfortable owning technical deliverables from start to finish, making sound engineering decisions, and solving problems independently.

What You’ll Be Working On

Managing and optimizing Databricks workspaces, configurations, permissions, and performance.

Developing and maintaining reliable ETL/ELT workflows and data processing pipelines.

Working with Snowflake to support data integration, transformation, and storage.

Designing scalable data architectures for efficient processing and analytics.

Handling data migrations between platforms while maintaining data integrity.

Identifying and resolving pipeline failures, performance issues, and data quality problems.

Improving automation, monitoring, and operational efficiency.

Testing solutions, documenting implementations, and delivering production-ready work.

Technical Requirements

Must Have:

Strong hands-on Databricks administration experience

Python and advanced SQL

Apache Spark / PySpark

Snowflake

Data engineering and ETL/ELT development

Data migration and pipeline optimization

Experience with AWS, Azure, or GCP

Troubleshooting and performance tuning

Nice to Have:

Apache Airflow or Kafka

Terraform and CI/CD

Docker or Kubernetes

Scala

Data governance and access control

Cloud infrastructure automation

Expected Deliverables

Configured and optimized Databricks environments

Functional and tested data pipelines

Reliable integrations with required data platforms

Completed data migration tasks with validation

Resolved performance and reliability issues

Documented architecture, configurations, and workflows

Source code, test results, and deployment instructions

Final technical handover

Who We’re Looking For

You should have at least 4 years of relevant experience and a strong background in production data engineering.

We’re especially interested in developers who have worked with complex data environments, can troubleshoot independently, and understand how to build maintainable, high-performance solutions.

You should be comfortable working remotely, communicating progress clearly, and delivering agreed milestones without constant supervision.

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