Software Engineer III - Python/Java, AWS, Data Engineering, Spark

Job Description

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. You?re ready to gain the skills and experience needed to grow within your role and advance your career ? and we have the perfect software engineering opportunity for you. As a Software Engineer III at JPMorgan Chase within the consumer & Community Banking Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm?s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code. Produce 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. Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture. Design & develop data pipelines end to end using Spark SQL, Java and AWS Services. Utilize programming languages like Java, Python, NoSQL databases, SQL, Container Orchestration services including Kubernetes, and a variety of AWS tools and services. 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 on software engineering concepts and 3+ years applied experience. Hands-on practical experience in system design, application development, testing and operational stability. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying language. Hands-on practical experience in developing spark-based Frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark SQL & Spark Streaming. Proficient in coding in one or more Coding languages - Java, Scala, Python, Experience with Relational and No SQL databases, 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 Experience in Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD Experience in AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager Proficiency in automation and continuous delivery methods and of agile methodologies such as CI/CD, Applicant Resiliency, and Security. Experience working on the financial services industry and their IT systems. Practical cloud native experience AWS. Preferred Qualifications, Capabilities, And Skills Experience in Snowflake nice to have. Exposure to cloud technologies