
Data Engineering Lead
3 weeks ago
Position : Data Engineering Lead
Experience : 915 Years
Location : PAN India
Job Summary :
We are seeking a highly skilled and experienced Data Engineering Lead with 9 to 15 years of hands-on expertise in AWS and Snowflake. The ideal candidate will be a solution-oriented professional capable of designing, developing, and delivering scalable data engineering solutions. This role requires deep knowledge of end-to-end data architectures, layered data processing frameworks, and a strong ability to optimize data pipelines, with a preference for candidates with experience in the telecommunications industry.
Key Responsibilities :
- Design, develop, and maintain scalable data architectures and robust pipelines for large-scale data platforms.
- Build and optimize data lakes to unify both structured and unstructured data sources, ensuring accessibility and performance.
- Implement real-time and batch data processing using advanced Snowflake features like Streams, Tasks, and Snowpipe.
- Utilize a wide range of AWS services including EC2, Glue, Lambda, S3, Athena, and MWAA for efficient data integration, processing, and analytics.
- Develop and manage PySpark and Python-based workflows for scalable transformations and automation.
- Perform complex data modeling, performance tuning, and optimization within the Snowflake environment.
- Collaborate with cross-functional teams to deliver end-to-end data engineering solutions aligned with critical business goals.
Required Skills & Qualifications :
- 915 years of professional experience in data engineering or a related field.
- Strong expertise in AWS and Snowflake.
- Proven proficiency in AWS Glue.
- Hands-on experience with PySpark for data processing.
- Experience in designing and delivering scalable data engineering solutions.
(ref:hirist.tech)-
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