About this role
Push the limits of what’s possible with us as an experienced member of our Software Engineering team.
As a Software Engineer III at JPMorganChase within the Corporate Technology FINTECH team, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Design and build end-to-end ETL/ELT pipelines from scratch on Databricks using PySpark and SQL, including ingestion, transformation, and publishing of curated datasets for downstream analytics and applications.
- Develop and orchestrate AWS-based data workflows using Lambda, Step Functions, SQS/SNS, API Gateway, Secrets Manager, and storage services, with robust error handling, retries, and monitoring.
- Implement orchestration/scheduling and operational support using Apache Airflow / Apache NiFi / Autosys, including SLAs, backfills, runbooks, and production incident triage/root-cause analysis.
- Build secure, repeatable platform and data-access controls via Terraform and least-privilege principles; partner on access reviews/audit evidence and ensure backup, recovery, and archiving strategies are implemented and tested
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- 3+ years of experience using technologies such as Databricks , Pyspark, AWS, is essential and creating ETL Pipeline from scratch is a must.
- 3+ years of experience working with AWS (Lambda, Step Function, SQS, SNS, API Gateway, secrets manager and storage services) is a must.
- 3+ years of experience in software engineering and object-oriented programming skills with expertise in Python and Terraform
- Hands on experience with open-source frameworks/libraries, such as Apache NiFi, Apache Airflow and Autosys.
- Strong understanding of REST API development using FASTAPI or equivalent frameworks.
- Advanced at SQL (e.g., joins and aggregations)
Preferred qualifications, capabilities, and skills
- Familiar with development tools such as Jenkins, Jira, Git/Stash, spinnaker
- Familiarity with unit testing frameworks such as pytest or unittest.
- Extensive experience in statistical data analysis, with the ability to select appropriate tools and identify data patterns for effective analysis, as well as experience throughout the data lifecycle