
Expertise in Large Scale Data Engineering
1 day ago
We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will have 4–5 years of experience in designing and implementing high-quality, secure, and scalable data pipelines and systems that power reporting, analytics, and operational use cases.
This is a remote-first opportunity with a strong preference for candidates who can collaborate occasionally in-person. We value flexibility and adaptability in our team members.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines using Snowflake, Fivetran, DBT, and Python.
- Write and optimize complex SQL queries for data transformations, analytics, and reporting.
- Develop and maintain complex Power BI reports and dashboards by integrating Snowflake and other data sources.
- Integrate and transform structured, semi-structured, and unstructured data for reporting and analytics.
- Implement end-to-end data flows with minimal supervision, ensuring performance, security, and reliability.
- Collaborate with product owners to validate requirements, define data logic, and ensure data completeness and correctness.
- Contribute to engineering best practices and write clean, maintainable code.
Mandatory Skills:
- PowerBI (Must)
- Snowflake (Must)
- Python (Must)
- Complex SQL Query Writing (Must) – Experience with joins, CTEs, window functions, and performance tuning.
- Fivetran (Good to have)
- DBT (Good to have)
Benefits:
- Opportunity to work on high-profile projects with a talented team.
- Flexible working hours and remote work options.
- Professional growth and development opportunities.
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