Jobs via Dice · 1 day ago
Lead Data Engineer
Lewisville, TX
Full-time
Onsite
Senior Level, Lead/Staff
12+ years expDice is the leading career destination for tech experts at every stage of their careers. Their client, KnackHook, LLC, is seeking a Lead Data Engineer to manage end-to-end data engineering and data warehousing tasks in an AWS and Snowflake environment.
Computer Software
Responsibilities
At least 12+ years of experience working with various Data Engineering tools
Work as an individual contributor who can run with requirements and handle end to end data engineering and data warehousing tasks in an AWS and Snowflake environment
Diverse experience with both ETL and ELT process
Should have done extensive development in Python to automate ETL processes and build/manage data pipelines
Should have understanding on python best practices, error handling, code repositories, code management etc
Experience handling both on prem and cloud versions of Informatica (IICS) ETL tools
Should have worked with cloud-based data warehouses tools like Snowflake and have good understanding of data Ingestion, data warehouses, data lakes and data analytics
Experience with Python or PySpark based ETL/ELT development / automation
Extensive working knowledge with AWS Data platform and services – S3, AWS Glue, AWS EC2, CloudWatch etc
Control M preferred or other relevant tools
Qualification
Required
At least 12+ years of experience working with various Data Engineering tools
Work as an individual contributor who can run with requirements and handle end to end data engineering and data warehousing tasks in an AWS and Snowflake environment
Diverse experience with both ETL and ELT process
Python – Should have done extensive development in Python to automate ETL processes and build/manage data pipelines
Should have understanding on python best practices, error handling, code repositories, code management etc
Informatica – Experience handling both on prem and cloud versions of Informatica (IICS) ETL tools
Data warehouse skills – Should have worked with cloud-based data warehouses tools like Snowflake and have good understanding of data Ingestion, data warehouses, data lakes and data analytics
Experience with Python or PySpark based ETL/ELT development / automation
AWS – Extensive working knowledge with AWS Data platform and services – S3, AWS Glue, AWS EC2, CloudWatch etc
Scheduling Tool – Control M preferred or other relevant tools
Preferred
Financial Domain Experience Will Be Preferred
Company
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