JPMorgan Chase is looking to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable manner to achieve the firm's business objectives.
Requirements
- Proficiency in programming languages such as Python and PySpark.
- Experience designing and implementing data pipelines in cloud environments.
- Strong background in design, architecture, and development using AWS Services, Databricks, Spark, Snowflake, and related technologies.
- Experience with CI/CD tools such as Jenkins, GitLab, or Terraform.
- Familiarity with containerization and orchestration technologies including ECS, Kubernetes, and Docker.
- Ability to troubleshoot issues related to Big Data and Cloud technologies.
- 5+ years of experience leading and developing data solutions in AWS Cloud.
Responsibilities
- Design solutions at the appropriate level of detail and drive consensus among peers as needed.
- Collaborate with software engineers and cross-functional teams to design and implement deployment strategies using AWS Cloud and Databricks pipelines.
- Lead the design, development, testing, and implementation of application solutions.
- Design, develop, and maintain robust data pipelines for ingesting, processing, and storing large volumes of data from diverse sources.
- Implement ETL (Extract, Transform, Load) processes to ensure data quality and integrity using tools such as Apache Spark and PySpark.
- Monitor and optimize the performance of data systems and pipelines.
- Apply best practices for data storage, retrieval, and processing.
Other
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Ability to champion software engineering best practices within the team.
- Ability to partner with technical experts, stakeholders, and team members to resolve complex technical challenges.
- Ability to proactively address issues to support leadership objectives and prevent customer impact.
- Ability to maintain comprehensive documentation for data systems, processes, and workflows.
