Data Engineer (Software Engineer II)
JPMorgan Chase & Co. (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 18–30 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 focusing on data integration and analysis across multiple data stores and formats.
- Build and optimize scalable data acquisition and integration solutions using Big Data technologies and AWS services such as EMR, S3, AWS Glue, Lambda, and Apache Airflow.
- Collaborate with cross-functional and remote teams utilizing Agile methodology and enterprise-authorized AI-assisted development tools to improve code quality and delivery speed.
Minimum Requirements
- 4+ years of experience in data integration projects using Big Data technologies and AWS Data Warehousing (EMR, S3, AWS Glue, Lambda, Apache Airflow) with Infrastructure as Code (Terraform or CloudFormation).
- Strong experience with CICD tools including Jenkins, Git, Artifactory, Yaml, Maven for cloud deployments.
- Hands-on experience with Spark engineering using PySpark or Scala, and knowledge of Big Data querying tools like Athena, RDS, or Databricks SQL Warehouse.
- Mandatory skills include Java open-source/API standards, Data Warehousing, Data Modeling, Data Lake concepts, and experience with data formats such as Parquet, ORC, Avro, and table formats Delta Lake or Iceberg.
Ideal Candidate Profile
- Experienced in building and maintaining end-to-end scalable data pipelines and integration solutions using cloud-native AWS services and Big Data frameworks.
- Proficient in leveraging AI-assisted software development tools critically within a secure, stable application development environment with understanding of responsible AI usage.
- Skilled at working in agile teams including cross-functional and distributed groups, enabling effective product development and system design with a focus on operational stability.