Senior Lead Software Engineer- Data Engineer

JP Morgan Chase Bank; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

JP Morgan Chase in Bengaluru is seeking a Senior Lead Engineer to design, develop, and deliver innovative software solutions within the Chief Technology Office. You will collaborate with an agile team to build secure, scalable data platforms and production-grade code.

You will gain hands-on experience across the software development lifecycle, contribute to strong coding practices, and help shape the architecture of complex data systems.

Qualifications

• Formal training or certification in software engineering concepts and 8+ years applied experience.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to go beyond routine approaches.
• Creates secure, high-quality production code and maintains algorithms.
• Produces architecture and design artifacts for complex applications ensuring design constraints are met.
• Gathers and analyzes data to develop visualizations and reporting for continuous improvement.
• Identifies hidden problems in data to drive improvements in coding hygiene and system architecture.
• Contributes to communities of practice exploring new technologies.

Skills

Python (PySpark)

CI/CD

Apache Airflow

Databricks

AWS Cloud

Data Pipelines

Big Data (Hadoop/Spark)

Data Modeling

SQL/PLSQL

Cloud Security

Tools

Unity Catalog

Databricks Workflow

Databricks Live Tables

Apache NiFi

Informatica

Job description

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