Lead Software Engineer AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Employee Platforms team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you are tasked with implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.

Job responsibilities

• Manage data integration and data analysis of disparate systems.
• Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client.
• Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources.
• Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs.
• Interface with other internal product development teams as well as cross-functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams).
• Work with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily.
• Excellent communication, presentation, interpersonal, and analytical skills, including the ability to communicate complex concepts clearly to different audiences.
• Possesses strong problem-solving, troubleshooting, and analytical skills.
Strong technical understanding in building scalable, high-performance distributed services/systems.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands on experience in data integration projects using Big Data Technologies, related to human resources analytics.
• Strong experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro, Sequence files, etc.
• Hands-on experience with a minimum of 5 years on Spark and Scala.
• Hands-on experience with a minimum of 2 years on building streaming applications using Kafka.
• Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments.
• Java open-source, API, JUnits, Spring Boot applications, Swagger Setup.
• Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala.
• Strong knowledge of Data Warehousing and Data Lake concepts.
• Strong experience with Java open-source and API standards.

• Experience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDB.
  

• Experience in AWS Data Warehousing and database platforms preferred.
• Ability to quickly learn new technologies in a dynamic environment
• Ability to initiate and implement ideas to solve business problems