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Senior Lead Software Engineer- Data Engineer
Bengaluru, Karnataka, India
Actively hiring, first seen by us 1 day ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, develop, and troubleshoot software solutions beyond routine approaches
Write secure, high-quality production code and maintain algorithms
Produce architecture and design artifacts for complex applications
Build visualizations and reports from large, diverse data sets
Find hidden data patterns and drive coding and architecture improvements
From the employer’s posting
Executes software solutions, design, development, and technical troubleshooting
Creates secure and high-quality production code and maintains algorithms
Produces architecture and design artifacts for complex applications
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets
Proactively identifies hidden problems and patterns in data
What you’ll bring
All qualificationsCore experience
- 8+ years applied software engineering experience
- 12+ years building data solutions and pipelines on AWS
- 12+ years building data pipelines on Databricks
- 3+ years Python programming, especially PySpark
- Experience with AWS services and Apache Airflow
Qualification wording
Formal training or certification on software engineering concepts and 8+ years applied experience
12+ years of experience migrating/developing data solutions in the AWS cloud is required
12+ years of experience building/implementing data pipelines using Databricks
3+ years of Hands-on object-oriented programming experience using Python (specially Py Spark)
Experience needed in AWS Services, Apache Airflow.
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
JPMorgan Chase is hiring
413 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Databricks
- Hadoop
- Spark
- Airflow
Where the posting names them
- 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
- 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
- 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.
- 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.
- 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
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bengaluru, Karnataka, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.