The role involves developing data solutions, managing data pipelines, implementing monitoring systems, and collaborating with stakeholders to enhance data processing and analytics.
Job Description
At JPMorgan Chase, you'll have the opportunity to advance your career and push the boundaries of data engineering by developing innovative, secure solutions that transform financial services.
As a Data Engineer at JPMorgan Chase within the Employee Platforms team, you will become an integral part of an agile team dedicated to enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable way.
Job Responsibilities
Required Qualifications, Capabilities, and Skills
Preferred Qualifications, Capabilities, and Skills
At JPMorgan Chase, you'll have the opportunity to advance your career and push the boundaries of data engineering by developing innovative, secure solutions that transform financial services.
As a Data Engineer at JPMorgan Chase within the Employee Platforms team, you will become an integral part of an agile team dedicated to enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable way.
Job Responsibilities
- Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine or conventional approaches to build solutions or break down technical problems.
- Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
- Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
- Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
- Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput.
- Implement data quality checks and validation processes to ensure accuracy and reliability of data.
- Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics.
- Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform.
- Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights.
- Lead and contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Hnads on experience in data engineering, including design, application development, testing, and operational stability.
- Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services (EMR, Athena, Redshift).
- Proficiency in programming languages such as Python, Java, or Scala for data processing and application development.
- Extensive hands-on experience with Databricks, including architecting and managing large-scale data pipelines, optimizing Spark jobs, implementing security and governance controls, and automating workflows. Proven ability to leverage Databricks for advanced analytics, data lakehouse architectures, and seamless integration with AWS or other cloud services.
- Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
- Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security.
- Demonstrated proficiency in software applications and technical processes within technical disciplines such as cloud, artificial intelligence, machine learning, and mobile.
- Leverage AI agents and tools, such as Co-Pilot, to enhance productivity, code quality, and problem-solving in engineering tasks.
- Experience with scheduling tools like Autosys or Airflow to automate and manage job scheduling for efficient workflow execution.
Preferred Qualifications, Capabilities, and Skills
- AWS Certifications.
- Databricks Certifications.
- Proficiency in relational databases (Oracle or SQL Server).
- Skilled in writing Oracle SQL queries utilizing DML, DDL, and PL/SQL.
Top Skills
Airflow
Athena
Autosys
AWS
Bitbucket
Databricks
Emr
Git
Glue
Iceberg
Java
Jenkins
Lambda
Parquet
Pyspark
Python
Redshift
Scala
Spinnaker
Similar Jobs at JPMorganChase
Financial Services
As a Senior Lead Architect, develop high-quality solutions, guide technology evaluation, provide technical direction, and influence product design decisions.
Top Skills:
AIAWSCloudDddMachine Learning
Financial Services
As a Senior Lead Software Engineer, enhance and deliver technology products, providing technical guidance, writing secure production code, and influencing design decisions.
Top Skills:
CloudJavaMicroservices
Financial Services
Lead an agile team to enhance and deliver technology products. Drive technical decisions, review code, provide guidance, and promote best practices.
Top Skills:
CloudJavaMicroservicesSoftware Development Life Cycle
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
