Software Engineer II Data Engineer

tion processing and asset management.

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Job Description

Embrace this pivotal role as an essential member of a high performing team dedicated to reaching new heights in data engineering. Your contributions will be instrumental in shaping the future of one of the world's largest and most influential companies.

As a Software Engineer II, Data Engineer at JPMorgan Chase within the CCB Cards Technology team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics in a secure, stable, and scalable way. Leverage your deep technical expertise and problem solving capabilities to drive significant business impact and tackle a diverse array of challenges that span multiple data pipelines, data architectures, and other data consumers.

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems

• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.

• Designs and delivers trusted data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way

• Defines database back-up, recovery, and archiving strategy

• Design and develop data pipelines to ingest, store, and process data from multiple sources

• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts and 4+ years applied experience

• Experience with AWS cloud technologies, including S3

• Experience with SQL-based technologies (e.g., MySQL/ Oracle DB)

• Experience in Java and Python programming language

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Cloud implementation experience with AWS including:

  • AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge
  • Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD
  • AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager

• Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis

• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Proficiency in automation and continuous delivery methods.

• Proficient in all aspects of the Software Development Life Cycle.

• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Snowflake knowledge or experience preferred
• In-depth knowledge of the financial services industry and their IT systems
• Worked with building Data lake, built Data platforms, built Data frameworks, Built/Design of Data as a Service AP