Lead Software Engineer - Databricks, AWS at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Agile Methodologies, Data Pipelines, AWS, Data Lake Architecture, Infrastructure as Code, Enterprise Java, Python, Spark, Kafka, Generative AI, AI/ML Techniques, Data Privacy, Security Best Practices, Compliance Requirements

Industry

Financial Services

Description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking - Securities Services Technology, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. Job responsibilities Leads and mentors a team of data engineers and manage delivery using agile methodologies Designs, develops and maintains scalable data pipelines, transform data to a LDM supporting data analytics and business intelligence initiatives Drives decisions that influence the product design, application functionality, and technical operations and processes Involves designing, developing, and deploying solutions on AWS to solve complex business problems. Collaborates with cross-functional teams to understand business requirements and formulate technical solutions. Manages business stakeholders with product roadmap and delivery Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Experience in data platforms like Databricks, Redshift etc. Familiarity with AWS cloud platforms services like ECS, Lambda, Glue, Step Functions, SQS, RDS Aurora etc. Working experience with Data Lake Architecture Working experience with IaC like Terraform, Ansible etc. Proficiency in programming languages such as Enterprise Java or Python, Experience in technologies like Spark and Kafka Develop and deploy scalable Generative AI solutions. Conduct research and experiments to explore new AI/ML techniques and methodologies. Good Understanding of data privacy, security best practices, and compliance requirements to ensure safe and ethical use of LLMs.

Responsibilities

Leads and mentors a team of data engineers while managing delivery using agile methodologies. Designs, develops, and maintains scalable data pipelines to support data analytics and business intelligence initiatives.