We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As an AWS Software Engineer III-Databricks/Python/PySpark at JPMorgan Chase within the Corporate Sector-Global Finance Team, you will be a key member of an agile team, tasked with designing and delivering cutting-edge products that are secure, stable, and scalable.  Your role involves implementing essential technology solutions across diverse technical domains to support the firm's business goals effectively.

 

Job responsibilities 

Developing and optimizing data pipelines and workflows to support data integration, transformation, and analysisImplementing best practices for data management, ensuring data quality, security, and complianceWriting secure, high-quality production code following AWS best practices, and deploying efficiently using CI/CD pipelinesCreating architecture and design documents for complex applications, ensuring software code meets design constraintsIdentifying hidden issues and patterns in data to enhance coding practices and system architectureContributing to software engineering communities, promoting diversity, opportunity, inclusion, and respect within the team

 

Required qualifications, capabilities, and skills  

Formal training or certification on software engineering concepts and 3+ years applied experience Experience with Spark and SQLExpertise in Lakehouse/Delta Lake architecture, system design, application development, testing, and ensuring operational stabilityStrong programming skills in Python/PySparkProficient in orchestration using AirflowIn-depth knowledge of Big Data and data warehousing conceptsProficient in SQL/SparkSQLExperience with CI/CD processesThorough understanding of the Software Development Life Cycle (SDLC)Solid understanding of agile methodologies, including DevOps practices, application resiliency, and security measuresProven expertise in software applications and technical processes within a specialized technical domain

 

Preferred qualifications, capabilities, and skills 

Experience in full-stack development  with strong proficiency in Python Experience with Databricks, and the AWS cloud ecosystemFamiliarity with Snowflake, Terraform and LLMExposure to cloud technologies such as AWS Glue, S3, SQS/SNS, Lambda etc.Familiarity with Data Observability, Data Quality, Query Optimization & Cost OptimizationAWS certifications such as SAA, Associate Developer, Data Analytics Specialty, or Databricks certification