
Senior Data Platform Engineer
5 days ago
We are a data analytics services company that specializes in building and managing scalable data platforms for our clients. Our mission is to deliver actionable insights and value through modern data stack solutions.
Main Responsibilities :
- Design, build, and manage customer data platforms using Snowflake, dbt, Fivetran, and SQL independently.
- Collaborate with clients and internal teams to gather business requirements and translate them into reliable data solutions.
- Develop and maintain ELT pipelines with Fivetran and dbt to automate data ingestion, transformation, and delivery.
- Optimize SQL code and data models for scalability, performance, and cost efficiency in Snowflake.
- Ensure data platform reliability, monitoring, and data quality maintenance.
- Provide technical mentorship and guidance to junior engineers.
- Maintain clear and thorough documentation of engineering processes and architecture.
Essential Requirements :
- Proven hands-on experience with :
- Snowflake cloud data platform (data modeling, security, performance tuning)
- dbt (data build tool) for ELT workflows
- Fivetran (connector management, troubleshooting)
- Advanced SQL programming and optimization
- Strong understanding of data warehousing concepts, ETL/ELT best practices, and modern data stack architectures.
- Experience working independently and owning project deliverables end-to-end.
- Familiarity with version control systems (e.g., Git) and workflow automation tools.
- Solid communication and documentation skills.
- Ability to interact directly with clients and understand business requirements.
Benefits :
- Opportunity to lead implementation of state-of-the-art data platforms for global clients
- Dynamic, growth-oriented work environment
- Flexible working arrangements
- Competitive compensation package
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