Senior Data Engineer( DataBricks & Snowflake)
2026-10-14T13:04:04+00:00
Andishi
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https://www.andishi.dev/
CONTRACTOR
Nairobi
Nairobi
00100
Kenya
Information Technology
Science & Engineering, Computer & IT
2026-10-28T17:00:00+00:00
TELECOMMUTE
8
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.
- 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.
- Databricks administration
- Python
- advanced SQL
- Apache Spark
- PySpark
- Snowflake
- Data engineering
- ETL/ELT development
- Data migration
- pipeline optimization
- AWS
- Azure
- GCP
- Troubleshooting
- performance tuning
- Apache Airflow
- Kafka
- Terraform
- CI/CD
- Docker
- Kubernetes
- Scala
- Data governance
- access control
- Cloud infrastructure automation
- 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
- Apache Airflow or Kafka
- Terraform and CI/CD
- Docker or Kubernetes
- Scala
- Data governance and access control
- Cloud infrastructure automation
- At least 4 years of relevant experience
- Strong background in production data engineering
- Experience with complex data environments
- Ability to troubleshoot independently
- Understanding of how to build maintainable, high-performance solutions
- Comfortable working remotely
- Clear communication skills
- Ability to deliver agreed milestones without constant supervision
JOB-6acf7dc46972f
Vacancy title:
Senior Data Engineer( DataBricks & Snowflake)
[Type: CONTRACTOR, Industry: Information Technology, Category: Science & Engineering, Computer & IT]
Jobs at:
Andishi
Deadline of this Job:
Wednesday, October 28 2026
Duty Station:
This Job is Remote
Summary
Date Posted: Wednesday, October 14 2026, Base Salary: Not Disclosed
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JOB DETAILS:
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.
Work Hours: 8
Experience in Months: 48
Level of Education: bachelor degree
Job application procedure
Please share:
- Your experience with Databricks and Snowflake.
- One or two examples of similar projects you've completed.
- Your preferred hourly rate or project-based pricing.
- Your availability and estimated weekly capacity.
We're looking for a reliable long-term technical partner who values clean implementations, clear communication, and quality delivery.
Application Link:Click Here to Apply Now
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