Lead Software Engineer - Cloud Data Engineer
Hyderabad, Telangana, India
JPMorgan Chase & Co.
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorgan Chase within the Corporate and Investment Banking - Securities Services Team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds 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 of applied experience
- Subject matter expertise in Financial Services and/or Data Engineering/Architecture
- Hands-on experience with AWS data lake and/or analytics technologies:
- AWS Lake Formation, AWS Glue, AWS Athena, EMR, AWS ECS, AWS EKS, AWS Fargate, Kubernetes, AWS S3, AWS EC2
- Technical knowledge of data management and governance, and database systems including AWS Aurora, Cassandra, Oracle, Cockroach and DB2
- Technical knowledge of Apache Kafka and REST API
- Proficiency in both relational and NoSQL databases with working knowledge in data modeling tools and software (e.g., Erwin, SQL)
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Demonstrated ability to build self-service, self-healing, highly scalable and secure cloud software capabilities
- AWS Certification(s)
- Hands-on experience with Python
- Working experience in Big Data platform technologies: HDFS, Hive, Yarn, Spark, or Kafka
- Knowledge and working experience with testing, releasing, and CI/CD pipeline deployments into AWS using:
- Tools: Bitbucket, Terraform, SonarCube, Jenkins, Artifactory, DataDog, ServiceNow
- Banking domain experience
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Athena AWS AWS Glue Banking Big Data Bitbucket Cassandra CI/CD Data management Data pipelines DB2 EC2 ECS Engineering HDFS Kafka Kubernetes Lake Formation NoSQL Oracle Pipelines Python REST API Security Spark SQL Terraform Testing
Perks/benefits: Equity
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