Data Engineer III

Join our dynamic Data Engineering Team at JPMorgan Chase in Bengaluru, where your expertise will contribute to designing and delivering market-leading technology products. We offer a collaborative environment that fosters career growth and innovation, allowing you to make a significant impact on our business objectives.

As a Data Engineer III at JPMorgan Chase within the Data Engineering Team, you will be tasked with the design and delivery of reliable technology solutions that align with the firms business goals. Your role as a crucial member of an agile team will involve the creation of secure, stable, and scalable data products that inform our business strategies and improve our understanding of our customers.

Job Responsibilities

• Design, develop, and manage ETL jobs, data marts, and event collection and processing tools.
• Build data pipelines and tooling to support stakeholders across the project.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Write and maintain documentation of technical architecture.
• Participate in regular code reviews to maintain best code quality and adhere to best practices.
• Identify areas for quick wins to improve the experience of end users.
• Stay updated with the latest trends and technologies in data engineering.
• Work effectively in a team environment and contribute to team goals.
• Add to a team culture of diversity, equity, inclusion, and respect.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on data engineering concepts and 3+ years applied experience
• Proficiency in one or more programming languages such as Python, Java, or Scala.
• Ability to design and implement scalable data pipelines for batch and real-time data processing.
• Experience with big data technologies such as Spark, Hadoop, Hive, EMR, etc
• Experience working with modern data warehouse platforms like Amazon Redshift, Google BigQuery, or Snowflake.
• Experience with cloud platforms such as AWS, GCP, or Microsoft Azure.
• Experience in developing, debugging, and maintaining code in a large corporate environment.
• Overall knowledge of the Software Development Life Cycle.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

Preferred Qualifications, Capabilities, and Skills

• Knowledge of modern data lake table formats, ie, Iceberg, Hudi, etc
• Experience with Kubernetes for container orchestration, including deploying, scaling, and managing containerized applications.
• Certifications in relevant technologies or platforms, such as AWS Certified Big Data - Specialty, Google Professional Data Engineer, or Microsoft Certified Azure Data Engineer Associate, can be advantageous.
• Relevant industry experience, preferably in a data engineering role.