Data Systems Architect

3 days ago


Jamnagar, India beBeeData Full time

As a key member of our team, you will be responsible for designing, building, and maintaining scalable data pipelines to ensure efficient data integration and advanced analytics across the organization.The role involves working extensively with Snowflake for data modeling, performance tuning, and query optimization; implementing data ingestion, transformation, and integration from diverse structured and unstructured sources; automating workflows and data processing using AWS Lambda and other AWS-native services; and ensuring data quality, consistency, and security across data platforms.Key ResponsibilitiesDesigning, developing, and optimizing ETL/ELT pipelines using Python, PySpark, and AWS Glue.Implementing data ingestion, transformation, and integration from diverse structured and unstructured sources.Working extensively with Snowflake for data modeling, performance tuning, and query optimization.Automating workflows and data processing using AWS Lambda and other AWS-native services.Ensuring data quality, consistency, and security across data platforms.Collaborating with data scientists, analysts, and business teams to deliver scalable data solutions.Monitoring, troubleshooting, and improving the performance of data pipelines.Our ideal candidate has strong expertise in Python, PySpark, AWS services (Glue, Lambda), and Snowflake, and is able to design, build, and maintain scalable data pipelines to support advanced analytics and reporting across the organization.



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