Position Title: Lead AWS Data Engineer
Location: St. Louis MO (Onsite)
Salary - $160k to $190k
Job Description
* Design and build scalable cloud-native data platforms using PySpark Python and modern data engineering practices.
* Mentor and guide other engineers sharing knowledge reviewing code and fostering a culture of curiosity growth and continuous improvement.
* Create robust maintainable ETL/ELT pipelines that integrate with diverse systems and serve business-critical use cases.
* Lead by example-write high-quality testable code and participate in architecture and design discussions with a long-term view in mind.
* Decompose complex problems into modular efficient and scalable components that align with platform and product goals.
* Champion best practices in data engineering. including testing version control documentation and performance tuning
* Drive collaboration across teamsworking closely with product managers data scientists and other engineers to deliver high-impact solutions.
* Support data governance and quality efforts ensuring data lineage cataloging and access management are built into the platform.
* Continuously learn and apply new technologies frameworks and tools to improve tean productivity and platform reliability.
* Own and optimize cloud infrastructure components related to data engineering workfion storage processing and orchestration.
* Participate in architectural discussions iteration planning.
and feature si
* Adhere to Agile processes and participate actively in ag
* Stakeholder management skills
All About You
* Solid understanding of EMR Serverless Apache Airflow DAGs Iceberg S3 SQS DLQ
Lambda AWS Lake Formation Glue Athena Data Pipelines Databricks Unity catalog DBX SS
Any experience in YAML Data Contracts
Experience with containerization and infrastructure automation (e.g. Docker Terraform) will be a good addition.
* Experience integrating heterogeneous systems and building resilient data pipelines across cloud environments.
* Familiarity with orchestration tools (e.g. Airflow dt Step Functions etc.).
Position Title: Lead AWS Data Engineer Location: St. Louis MO (Onsite) Salary - $160k to $190k Job Description * Design and build scalable cloud-native data platforms using PySpark Python and modern data engineering practices. * Mentor and guide other engineers sharing knowledge reviewing code and ...
Position Title: Lead AWS Data Engineer
Location: St. Louis MO (Onsite)
Salary - $160k to $190k
Job Description
* Design and build scalable cloud-native data platforms using PySpark Python and modern data engineering practices.
* Mentor and guide other engineers sharing knowledge reviewing code and fostering a culture of curiosity growth and continuous improvement.
* Create robust maintainable ETL/ELT pipelines that integrate with diverse systems and serve business-critical use cases.
* Lead by example-write high-quality testable code and participate in architecture and design discussions with a long-term view in mind.
* Decompose complex problems into modular efficient and scalable components that align with platform and product goals.
* Champion best practices in data engineering. including testing version control documentation and performance tuning
* Drive collaboration across teamsworking closely with product managers data scientists and other engineers to deliver high-impact solutions.
* Support data governance and quality efforts ensuring data lineage cataloging and access management are built into the platform.
* Continuously learn and apply new technologies frameworks and tools to improve tean productivity and platform reliability.
* Own and optimize cloud infrastructure components related to data engineering workfion storage processing and orchestration.
* Participate in architectural discussions iteration planning.
and feature si
* Adhere to Agile processes and participate actively in ag
* Stakeholder management skills
All About You
* Solid understanding of EMR Serverless Apache Airflow DAGs Iceberg S3 SQS DLQ
Lambda AWS Lake Formation Glue Athena Data Pipelines Databricks Unity catalog DBX SS
Any experience in YAML Data Contracts
Experience with containerization and infrastructure automation (e.g. Docker Terraform) will be a good addition.
* Experience integrating heterogeneous systems and building resilient data pipelines across cloud environments.
* Familiarity with orchestration tools (e.g. Airflow dt Step Functions etc.).
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