myGwork - LGBTQ+ professionals & allies
Software Engineer III - ETL, Informatica, Python
myGwork - LGBTQ+ professionals & allies, Chicago, Illinois, United States, 60290
This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Software Engineer III at JPMorgan Chase within the Corporate Technology, Chief Administrative Office Technology team, you serve as a seasoned 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
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.Creates data models for complex applications and integrations while being accountable for ensuring design constraints are met by data engineering standards and software code development.Analyzes and translates business needs into sound business and data models that streamline data movement, reduce data redundancy and improve information management.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.Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.Maintain up-to-date documentation on Datamart architecture, data models, ETL processes, and data governance policies.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 of applied experience.Hands-on practical experience delivering system design, application development, testing, and operational stability.Proficiency in designing, developing, testing, debugging, and maintaining code using PL/SQL and Java or Scala or Python.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.Proficiency in both relational and NoSQL databases with working knowledge in data modeling tools and software (e.g., Erwin, SQL).Proficient in all aspects of the Software Development Life Cycle including advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).AWS Lake Formation, AWS Glue, AWS Athena, EMR, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2.Hands on experienced with ETL tools (design and development) including Informatica, Star Schema data models, AWS Glue, and Databricks.Experience in large scale data integration and data warehouse solutions and data modeling.Experience with Oracle 19c or Higher database including partitioning and NoSQL databases.Preferred Qualifications, Capabilities, And Skills
Experience with Databricks, Datalakes, data products, Big data technologies and handling Metadata.Exposure to reporting tools such as Cognos, Qlik Sense, QlikView.BS/BA in related discipline strongly preferred (i.e., IT, MIS, Computer Science, Technology, etc.).
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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.Creates data models for complex applications and integrations while being accountable for ensuring design constraints are met by data engineering standards and software code development.Analyzes and translates business needs into sound business and data models that streamline data movement, reduce data redundancy and improve information management.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.Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.Maintain up-to-date documentation on Datamart architecture, data models, ETL processes, and data governance policies.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 of applied experience.Hands-on practical experience delivering system design, application development, testing, and operational stability.Proficiency in designing, developing, testing, debugging, and maintaining code using PL/SQL and Java or Scala or Python.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.Proficiency in both relational and NoSQL databases with working knowledge in data modeling tools and software (e.g., Erwin, SQL).Proficient in all aspects of the Software Development Life Cycle including advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).AWS Lake Formation, AWS Glue, AWS Athena, EMR, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2.Hands on experienced with ETL tools (design and development) including Informatica, Star Schema data models, AWS Glue, and Databricks.Experience in large scale data integration and data warehouse solutions and data modeling.Experience with Oracle 19c or Higher database including partitioning and NoSQL databases.Preferred Qualifications, Capabilities, And Skills
Experience with Databricks, Datalakes, data products, Big data technologies and handling Metadata.Exposure to reporting tools such as Cognos, Qlik Sense, QlikView.BS/BA in related discipline strongly preferred (i.e., IT, MIS, Computer Science, Technology, etc.).
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