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JPMorganChase

Software Engineer III - Data Engineer

Posted Yesterday
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Hybrid
Hyderabad, Telangana
Mid level
Hybrid
Hyderabad, Telangana
Mid level
As a Software Engineer III, you will design and maintain scalable data pipelines, utilize Python and various AWS services, manage ETL processes, and collaborate with teams to deliver technology solutions.
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Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
  • Utilize Python for data processing and transformation tasks, ensuring efficient and reliable data workflows.
  • Implement data orchestration and workflow automation using Apache Airflow.
  • Deploy and manage containerized applications using Kubernetes (EKS) and Amazon ECS.
  • Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure.
  • Develop and optimize data models to support business intelligence and analytics requirements.
  • Work with graph databases to model and query complex relationships within data.
  • Create and maintain interactive and insightful reports and dashboards using Tableau to support data-driven decision-making.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
  • Implement AWS enterprise solutions, including Redshift, S3, EC2, Data Pipeline, and EMR, to enhance data processing capabilities.
  • Work hands-on with SPARK to manage and process large datasets efficiently.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • Hands-on practical experience programming skills in Python, with basic knowledge of Java.
  • Experience with Apache Airflow for data orchestration and workflow management.
  • Familiarity with container orchestration platforms such as Kubernetes (EKS) and Amazon ECS.
  • Experience with Terraform for infrastructure as code and cloud resource management.
  • Proficiency in data modeling techniques and best practices.
  • Exposure to graph databases and experience in modeling and querying graph data.
  • Experience in creating reports and dashboards using Tableau.
  • Experience with AWS enterprise implementations, including Redshift, S3, EC2, Data Pipeline, and EMR.
  • Hands-on experience with SPARK and managing large datasets.
  • Experience in implementing ETL transformations on big data platforms, particularly with NoSQL databases (MongoDB, DynamoDB, Cassandra).

Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

Top Skills

Amazon Ecs
Apache Airflow
AWS
Cassandra
Data Pipeline
DynamoDB
Ec2
Emr
Java
Kubernetes
MongoDB
NoSQL
Python
Redshift
S3
Spark
Tableau
Terraform

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