Designs, develops, and troubleshoots secure, scalable software and data solutions. Builds cloud-based data pipelines using AWS, Airflow, Databricks, and related technologies; develops optimized Python and PySpark code for large datasets; creates architecture and design artifacts; performs data analysis, visualization, profiling, modeling, and ETL; and contributes to engineering practices and emerging technology initiatives.
Join us to advance your software engineering career while building impactful technology solutions. Grow your skills and make a difference with a collaborative team.
As a Senior Lead Engineer at JPMorgan Chase within the Chief Technology Office team, you will design, develop, and deliver innovative software solutions. You will collaborate with an agile team to enhance technology products in a secure and scalable way. You will gain hands-on experience across the software development lifecycle. You will contribute to a supportive team culture focused on growth and technical excellence.
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 and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 8+ years applied experience
- Experience designing and implementing data pipelines in a cloud environment is required. (E.g. Apache Ni Fi / Informatica etc.).
- 12+ years of experience migrating/developing data solutions in the AWS cloud is required. Experience needed in AWS Services, Apache Airflow.
- 12+ years of experience building/implementing data pipelines using Databricks such as Unity Catalog, Databricks workflow, Databricks Live Table etc.
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security3+ years of Hands-on object-oriented programming experience using Python (specially Py Spark) to write complex, highly optimized queries across large volumes of data.
- Knowledge or experience in Big data technologies such as Hadoop/Spark. Knowledge or experience in Data modeling and ETL processing
- Hands on experience in data profiling and advanced PL/SQL procedures
Preferred qualifications, capabilities, and skills
- Familiarity Oracle, ETL, Data Warehousing, and good to have cloud expertise
- Exposure to cloud technologies
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Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
