Lead Software Engineer - BI/Data Platform Lead
- JPMorgan Chase Bank
- 5 - 10 years
- Mumbai
- 2 months ago
- Email to a friend
- Report this job
Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Data Platform Engineering Lead at JPMorgan Chase within Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives.
Job responsibilities
- Lead the design, development, and implementation of scalable data pipelines and ETL batches using Python/PySpark on AWS.
- Execute standard software solutions, design, development, and technical troubleshooting
- Use infrastructure as code to build applications to orchestrate and monitor data pipelines, create and manage on-demand compute resources on cloud programmatically, create frameworks to ingest and distribute data at scale.
- Manage and mentor a team of data engineers, providing guidance and support to ensure successful product delivery and support.
- Collaborate proactively with stakeholders, users and technology teams to understand business/technical requirements and translate them into technical solutions.
- Optimize and maintain data infrastructure on cloud platform, ensuring scalability, reliability, and performance.
- Implement data governance and best practices to ensure data quality and compliance with organizational standards.
- Monitor and troubleshoot application and data pipelines, identifying and resolving issues in a timely manner.
- Stay up-to-date with emerging technologies and industry trends to drive innovation and continuous improvement.
- Add to team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience in software development and data engineering, with demonstrable hands-on experience in Python and PySpark.
- Proven experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Good understanding of data modeling, data architecture, ETL processes, and data warehousing concepts.
- Experience or good knowledge of cloud native ETL platforms like Snowflake and/or Databricks.
- Experience with big data technologies and services like AWS EMRs, Redshift, Lambda, S3.
- Proven experience with efficient Cloud DevOps practices and CI/CD tools like Jenkins/Gitlab, for data engineering platforms.
- Good knowledge of SQL and NoSQL databases, including performance tuning and optimization.
- Experience with declarative infra provisioning tools like Terraform, Ansible or CloudFormation.
- Strong analytical skills to troubleshoot issues and optimize data processes, working independently and collaboratively.
- Experience in leading and managing a team/pod of engineers, with a proven track record of successful project delivery.
Preferred qualifications, capabilities, and skills
- Knowledge of machine learning model lifecycle, language models and cloud-native MLOps pipelines and frameworks is a plus.
- Familiarity with data visualization tools and data integration patterns.
Job Classification
Industry: Financial ServicesFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full timeContact Details:
Company: JPMorgan Chase BankLocation(s): Mumbai+ View Contact
Keyskills: Performance tuning Data modeling Machine learning Agile Data quality Troubleshooting Project delivery SQL Python Data architecture
Fraud Alert to job seekers!
₹ Not Disclosed
Similar positions
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in