JPMorgan Branch Manager - Pearl Woodall Rodgers Dallas TX 

United States, Texas, Dallas 

158622038

Job responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
• Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplace
• Collaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives
• Implement best practices for data engineering, ensuring data quality, reliability, and performance
• Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
• Perform data extraction and implement complex data transformation logic to meet business requirements
• Leverage advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projects
• Monitor and executes data quality checks to proactively identify and address anomalies. Ensure data availability and accuracy for analytical purposes
• Identify opportunities for process automation within data engineering workflows
• Communicate technical concepts to both technical and non-technical stakeholders. Deploy and manage containerized applications using Kubernetes (EKS) and Amazon ECS.
• Implement data orchestration and workflow automation using AWS step , Event Bridge. Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure.

Required qualifications, capabilities, and skills

• Formal training or certification on Data Engineering concepts and 3+ years applied experience. Experience across the data lifecycle
• Advanced at SQL (e.g., joins and aggregations)
• Advanced knowledge of RDBMS like Aurora. Experience in Microservice based component using ECS or EKS
• Working understanding of NoSQL databases. 4 + years of Data Engineering experience in building and optimizing data pipelines, architectures, and data sets ( Glue or Databricks etl)
• Proficiency in object-oriented and object function scripting languages (Python etc.)
• Experience in developing ETL process and workflows for streaming data from heterogeneous data sources
• Willingness and ability to learn and pick up new skillsets
• Experience working with modern DataLakes: Databricks )
• Experience building Pipeline on AWS using Terraform and using CI/CD piplelines
  Preferred qualifications, capabilities, and skillsExperience with data pipeline and workflow management tools (Airflow, etc.)
  Strong analytical and problem-solving skills, with attention to detail.Good communication skills, with the ability to convey technical concepts to non-technical stakeholders.
  A proactive approach to learning and adapting to new technologies and methodologies.