at J.P. Morgan
Bulge Bracket Investment BanksPosted 13 days ago
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The Data Engineer III (Databricks) role at JPMorgan Chase in Dublin involves designing secure, stable, and scalable data solutions. Key responsibilities include developing Python-driven Databricks workflows and ELT pipelines, ensuring data protection, updating data models, and frequently using SQL. This senior role requires 3+ years of software engineering experience, AWS, Databricks, and Python proficiency, advanced SQL skills, and a strong background in data analysis.
- Compensation
- Not specified
- City
- Dublin
- Country
- Ireland
Currency: Not specified
Full Job Description
Location: Dublin, Ireland
Develop workflows and ELT pipelines using Python and Databricks.
Support review of controls to ensure sufficient protection of enterprise data.
Implement data security using entitlements frameworks.
Update logical or physical data models based on new use cases.
Use SQL frequently and understand NoSQL databases
Formal training or certification on software engineering concepts and 3 years applied experience.
Good working knowledge of AWS, Databricks, and Python.
Experience across the data lifecycle.
Advanced at SQL, including joins and aggregations.
Working understanding of NoSQL databases.
Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
Utilize AWS Cloud Services for developing, deploying, and managing applications at scale.
Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing.
MLOps skills.
Data Engineer III (Databricks)
Compensation
Not specified
City: Dublin
Country: Ireland
The Data Engineer III (Databricks) role at JPMorgan Chase in Dublin involves designing secure, stable, and scalable data solutions. Key responsibilities include developing Python-driven Databricks workflows and ELT pipelines, ensuring data protection, updating data models, and frequently using SQL. This senior role requires 3+ years of software engineering experience, AWS, Databricks, and Python proficiency, advanced SQL skills, and a strong background in data analysis.
Full Job Description
Location: Dublin, Ireland
Develop workflows and ELT pipelines using Python and Databricks.
Support review of controls to ensure sufficient protection of enterprise data.
Implement data security using entitlements frameworks.
Update logical or physical data models based on new use cases.
Use SQL frequently and understand NoSQL databases
Formal training or certification on software engineering concepts and 3 years applied experience.
Good working knowledge of AWS, Databricks, and Python.
Experience across the data lifecycle.
Advanced at SQL, including joins and aggregations.
Working understanding of NoSQL databases.
Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis.
Utilize AWS Cloud Services for developing, deploying, and managing applications at scale.
Good understanding and working knowledge of software development lifecycle tools used for configuration management, CI/CD pipelines, unit testing, regression testing, and performance testing.
MLOps skills.
