The Company
A certified Digital Product Studio based in Colombo, Sri Lanka, that partners with startups, scale-ups, and enterprises to bring bold ideas to life through strategy, design, and full-stack engineering. We deliver scalable, user-centered software experiences across web and mobile — powered by modern tools, AI-assisted workflows, and a globally distributed team. Alongside client work, we also launch our own products — solving real-world problems with creativity and craft.
About the Role
We are hiring multiple Cloud Data Engineers on a contract basis for a high-impact, time-bound project with one of our enterprise clients. The initial contract term will be 6–12 months, with potential for extension or full-time conversion depending on performance and business needs.
This is an exciting opportunity to work on modern data platforms, cloud migrations, and large-scale analytics pipelines using technologies like Azure, Databricks, Snowflake, Python, Teradata, DataStage, and more.
Key Responsibilities
- Build, optimize, and maintain data pipelines in Azure, Snowflake, and Databricks.
- Migrate on-prem ETL jobs (e.g., Teradata, DataStage, Perl) to cloud-native solutions.
- Develop scalable ETL/ELT workflows using PySpark, ADF, SQL, or Terraform.
- Create APIs for data integrations and work with DevOps (CI/CD) pipelines.
- Implement best practices for data governance, RBAC, and compliance.
- Troubleshoot, monitor, and ensure reliability of large-scale data flows.
Required Skills
- Azure Data Services (ADF, Synapse, Storage, Functions)
- Databricks, PySpark, SQL, Snowflake
- Teradata, DataStage, Perl (legacy migration knowledge)
- API development (Python, C#, Go)
- Big Data tools (Hive, Airflow, Oozie)
- CI/CD and Infrastructure-as-Code (GitHub, Terraform)
Engagement Details
- This is a contractual role for 6–12 months with potential for further extension.
- Selected candidates will be deployed to client projects with full alignment on deliverables and timelines.
- Contract-to-Hire (possibility of permanent role based on performance)
Benefits
- Get exposure to high-end, enterprise-grade data platforms.
- Competitive compensation.
- Clear deliverables and impactful work.
- Flexibility and remote-friendly setup.
- Fast-track selection process.