Data Engineer II - AWS at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

20 May, 26

Salary

0.0

Posted On

19 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Aws Glue, Aws Lambda, Aws Emr, Aws Redshift, Amazon S3, Apache Spark, Apache Airflow, Git, Ci/Cd, Data Modeling, Etl, Data Governance, Design Thinking

Industry

Financial Services

Description

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. As a Data Engineer II at JPMorgan Chase within the Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. 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)

Responsibilities

The Data Engineer II will design, develop, and maintain scalable data pipelines on AWS utilizing services like Glue, EMR, Lambda, and Redshift. This role involves collaborating with various stakeholders to understand data requirements and implementing ETL processes for data ingestion, transformation, and loading.