Data Engineer [Multiple Positions Available]

JPMorganChase • Plano, TX

6d • Onsite

About The Position

We are seeking Data Engineers to identify, analyze, and interpret trends/patterns in complex data sets acquired from various data sources. You will be responsible for extracting, transforming, and loading data, and enforcing guidelines to ensure consistency, quality, and completeness of data assets. This role involves working on the migration of infrastructure, data, and applications from legacy data centers into cloud and hybrid environments. You will design and implement data pipelines, develop and maintain data processing and transformation scripts, and build and maintain data warehouses and data lakes. The ideal candidate will deliver work products on time and on budget while applying quality assurance best practices.

Requirements

• Master's degree in Management Information Systems, Computer Science, Data Analytics, Business Analytics, or related field of study.
• 3 years (36 months) of experience in the job offered or as Data Engineer, Systems Engineer, Software Engineer, Data Analyst, or related occupation.
• Experience conducting data engineering, automation, orchestration, and full-stack integration across on-premise and cloud environments.
• Experience designing, developing, and maintaining scalable ETL and data-pipeline frameworks using AWS including Glue, EMR, Lambda, S3, Redshift, and CloudFormation and Databricks for large-scale analytical and streaming workloads.
• Experience leveraging Apache Spark, Kafka, Hadoop, Hive, and Airflow for batch and real-time data ingestion, transformation, and scheduling.
• Experience using Python, SQL, Java, PL/SQL, and Unix shell scripting to build reusable frameworks for data validation, testing, automation, and performance tuning.
• Experience with infrastructure provisioning and configuration management using Ansible.
• Experience with continuous integration/deployment through Jenkins, Spinnaker, Jules, and Terraform (TFE).
• Experience implementing data masking, lineage, and entitlement governance via Immuta.
• Experience orchestrating workloads with Kubernetes.
• Experience integrating datasets through RESTful APIs to downstream systems and applications.
• Experience supporting the development of automation dashboards, monitoring utilities, and data-driven microservices using ReactJS, Redux, Node.js, and JavaScript frameworks.
• Experience ensuring data reliability and SLA compliance through production job monitoring, incident resolution, and ticket management using ServiceNow and JIRA.
• Experience preparing curated datasets for reporting and visualization.
• Experience optimizing data models across Redshift, Oracle, PostgreSQL, MySQL, and Cassandra.
• Operating under Agile SDLC methodology, ensuring automation, scalability, governance, and continuous improvement of data engineering processes and infrastructure.

Responsibilities

• Identify, analyze, and interpret trends/patterns in complex data sets acquired from various data sources.
• Extract, transform, and load data.
• Enforce guidelines to ensure consistency, quality, and completeness of data assets.
• Work on the migration of infrastructure, data, and applications out of legacy data centers into cloud and hybrid environments.
• Design and implement data pipelines.
• Develop and maintain data processing and transformation scripts.
• Build and maintain data warehouses and data lakes.
• Deliver work products on time and on budget while applying quality assurances best practices.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level