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JPMorganChase · 1 day ago

Data Engineer III

Columbus, OH

Full-time

Onsite

Mid Level

3+ years exp

JPMorgan Chase is one of the world's leading financial institutions, and they are seeking a Data Engineer III to join their Consumer & Community Banking/Data Products team. The role involves designing and delivering technology solutions, optimizing ETL/ELT pipelines, and utilizing various data processing frameworks to support business objectives.

Asset ManagementBankingFinancial Services

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing

Understand PySpark or distributed data processing frameworks

Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases

Have Experience with Airflow on MWAA, Astronomer or Kubernetes

Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda

Working knowledge of Terraform for infrastructure automation

Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture

Possess Ability to query and manage open-table format datasets

Designing and optimizing ETL/ELT pipelines

Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses

Utilize Experience with version control like GIT, testing frameworks, and code reviews

Qualification

PythonJavaAWSETL/ELT pipelinesPySparkAirflowTerraformKAFKASnowflakeAgile methodologiesSoftware Development Life CycleVersion control (GIT)Testing frameworksCode reviews

Required

Formal training or certification on software engineering concepts and 3+ years of applied experience

Proficiency in Python/Java technology

Hands-on practical experience in system design, application development, testing, and operational stability

Proficient in coding in one or more languages such as Python/Java

Experience in building solutions using cloud technologies like AWS

Exposure to message streaming technologies such KAFKA/FLINK

Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

Overall knowledge of the Software Development Life Cycle

Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)