Data Engineer (Software Engineer II)
JPMorgan Chase & Co. (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 18–28 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and troubleshoot software components and data integration solutions within the firm's Workforce Technology, Employee Platforms team.
- Build scalable and extensible data acquisition and integration pipelines using Big Data technologies and AWS services (EMR, S3, Glue, Lambda, Airflow).
- Collaborate with cross-functional and remote teams to deliver secure, stable, and maintainable data products and leverage AI-assisted coding tools for enhanced code quality and delivery.
Minimum Requirements
- 4+ years of experience in data integration projects using Big Data technologies.
- Hands-on experience with AWS Data Warehousing and services including EMR, S3, AWS Glue, Lambda, Apache Airflow and Infrastructure as Code tools like Terraform or CloudFormation.
- Strong proficiency in Spark engineering with PySpark/Scala and CICD tools such as Jenkins, Git, Artifactory, Yaml, Maven for cloud deployments.
- Work Experience Required: Minimum 4 years in relevant data engineering and integration roles.
Ideal Candidate Profile
- Experienced in building and optimizing scalable data pipelines using Spark and big data query tools like Athena, RDS, Databricks SQL Warehouse.
- Demonstrated knowledge of Data Warehousing, Data Modeling, Data Lake architectures along with Java open-source API standards.
- Familiarity with enterprise AI-assisted development tools and adherence to secure, resilient engineering workflows including responsible AI use.