
Chief Data Pipeline Architect
2 days ago
Data Engineering Lead
- Our team is seeking an experienced Senior Data Engineer to lead the development and maintenance of our scalable data pipelines using Azure and Databricks.
- The ideal candidate will have a strong background in developing data models and transformation scripts using DBT and SQL, as well as experience with optimizing Snowflake warehouses for performance and cost-efficiency.
- We are looking for a highly skilled professional who can automate ETL/ELT workflows and troubleshoot data integration issues effectively.
Requirements:
- Minimum 7–9 years of experience in data engineering with strong cloud expertise.
- Hands-on experience with Azure Data Factory, Azure Data Lake, and Databricks.
- Proficient in DBT, Snowflake schema design, and Python/Scala scripting.
- Experience with Git, CI/CD, and Agile methodologies.
About this role
- This is an excellent opportunity to work on high-impact projects and contribute to the growth of our organization.
- As a key member of our data engineering team, you will collaborate with cross-functional teams to drive business outcomes through data-driven decision making.
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