
Decision Point
3 weeks ago
Job Description :
- Lead the design, development, and maintenance of scalable ETL/ELT pipelines and data integration workflows.- Build and optimize data models in Snowflake for analytics and reporting.
- Implement and manage transformation workflows using DBT.
- Work with AWS Glue, Snaplogic, and Fivetran to integrate data from multiple sources into the data warehouse.
- Ensure data quality, consistency, and governance across pipelines.
- Collaborate with analytics, product, and business teams to understand requirements and deliver data solutions.
- Monitor pipeline performance and optimize for cost and efficiency.
- Mentor junior data engineers and contribute to best practices, standards, and automation initiatives.
Requirements :
- Minimum 4+ years of experience in Data Engineering.
- Strong expertise in Snowflake (data modeling, performance tuning, security).
- Hands-on experience with DBT for data transformations.
- Proven experience with AWS Glue, Snaplogic, Fivetran, and other ETL tools.
- Strong SQL and Python skills for ETL development and automation.
- Experience in building and optimizing large-scale data pipelines.
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving, communication, and leadership skills.
(ref:hirist.tech)-
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