Data Engineer II - AWS
at J.P. Morgan
Posted a month ago
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- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Join JPMorgan Chase Asset & Wealth Management as a Data Engineer II to design, build, and maintain scalable AWS-based data pipelines and ETL processes. You will work with services such as Glue, EMR, Lambda, Redshift and S3 to ingest, transform, and load data, while optimizing for performance, reliability, and cost. The role involves collaborating with data scientists, analysts, and business stakeholders, ensuring data quality, security, and documentation, and troubleshooting production issues.
Location: Bengaluru, Karnataka, India
You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
Job responsibilities
- Designs, develop, and maintain scalable data pipelines on AWS using services such as Glue, EMR, Lambda, and Redshift.
- Collaborates with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Implements ETL processes to ingest, transform, and load data from various sources into cloud-based data warehouses.
- Optimizes data workflows for performance, reliability, and cost efficiency.
- Ensures data quality, integrity, and security across all stages of the data lifecycle.
- Monitors, troubleshoot, and resolve issues in production data pipelines.
- Documents data architecture, processes, and best practices for team knowledge sharing.
Required qualifications, capabilities, and skills
- Formal training or certification on data engineering concepts and 2+ years applied experience
- Experience in data engineering, with a focus on cloud-based solutions (AWS).
- Strong proficiency in SQL and Python.
- Experience with building and managing ETL pipelines.
- Familiarity with data modeling, warehousing concepts, and big data technologies.
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving skills and ability to work independently or in a team environment.
- Strong communication skills for technical and non-technical audiences.
- Tools : AWS Glue, AWS Lambda, AWS EMR, AWS Redshift, Amazon S3, Pub/Sub Services: Amazon SNS, SQS, MSK, Apache Spark, Apache Airflow, Python, SQL, Git, CI/CD tools (e.g., Jenkins, AWS CodePipeline), Monitoring tools (e.g., CloudWatch, Datadog)
