Data Engineer III: Databricks/PySpark Pipelines & AI

JPMorgan Chase & Co.; Dublin; On-site; EUR 70,000 - 90,000; Full time

Job summary

JPMorgan Chase & Co. is looking for a Data Engineer III in Dublin to design and maintain scalable data solutions. The role involves developing workflows, onboarding datasets to Palmos, and collaborating with teams on data quality and performance.

Ideal candidates will have experience in data engineering, particularly with Databricks, Spark, and Python, and a strong understanding of the SDLC. Join us to make an impact in data and analytics.

Qualifications

• Hands-on experience with Databricks, Spark/PySpark, Python, and SQL.
• Experience in developing and maintaining data pipelines and processing systems.
• Understanding of the data lifecycle with cloud platforms like AWS.

Responsibilities

• Develop workflows and ELT data pipelines using Python and Spark.
• Onboard datasets into Palmos, including ingestion and validation.
• Build and maintain scalable data pipelines for enterprise analytics.

Skills

Databricks

Python

Spark/PySpark

SQL

Cloud platforms (AWS)

SDLC practices

Agile collaboration

Tools

Databases (relational and NoSQL)

AI-assisted development tools

Job description

JPMorgan Chase & Co. is looking for a Data Engineer III in Dublin to design and maintain scalable data solutions. The role involves developing workflows, onboarding datasets to Palmos, and collaborating with teams on data quality and performance.

Ideal candidates will have experience in data engineering, particularly with Databricks, Spark, and Python, and a strong understanding of the SDLC. Join us to make an impact in data and analytics.