Software Engineer III - AWS, Databricks, Python, Cognos

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