JPMorgan Data Engineer III 

India, Karnataka, Bengaluru 

968463877

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, i.e., 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.