Job Title – Senior Data Engineer
The Purpose of This Role
Do you enjoy working on next-generation Data and AI capabilities and creating innovative solutions? Do you want to collaborate with like-minded engineers across the globe? As a Data Engineering Lead, you will work within the Enterprise Data AI and Data Management. We are a diverse, multi-functional team comprised of highly upbeat and motivated technologists who believe in the power of innovation and constant teamwork. The team blends technology & business expertise with a passion for exploring new technologies while working in an open and transparent way. We believe that small, empowered, self-motivated teams can achieve extraordinary things.
At Fidelity, we use AI with data and analytics to personalize incredible customer experiences and develop solutions that help our customers live the lives they want. We are looking for a hands-on data engineer who can help us design and develop our next generation, cloud-enabled data capabilities including Data Management & Governance space.
This is an opportunity for a highly motivated Data Engineering Lead to join Enterprise Data and AI where you will contribute to powering the next generation of Fidelity’s digital services through innovative solutions using the latest cloud native technologies and innovative engineering practices.
The Value You Deliver
We are looking for a seasoned Lead Data Engineer Data Management to join our growing Enterprise Data and AI – Foundation Services & Data Management Engineering Teams. The ideal candidate is experienced in next generation Data AI capabilities with Data Management experience. Candidate must be self-directed and comfortable supporting the data needs of multiple teams (Client Management), systems, and products both in Cloud and on-prem. The right candidate will be excited by the prospect of optimizing or even re-designing our organization’s data architecture to support our next generation of products and data initiatives and AI capabilities.
The Skills that are Key to this role
Technical / Behavioral
Experience in building cloud native data and software engineering solutions
Leadership, technical supervision and expertise in leading complex enterprise-wide solutions
Expertise and hands-on experience with Continuous Integration and Continuous Deployment tools such as GitHub, Artifactory and Jenkins.
Extensive knowledge in AWS services, Java, Python, REST API, and Kafka.
Data Management & Data Governance tool stack experience
Working and functional knowledge of one of the Data Governance/Catalog tools e.g. Collibra, Alation, Data Lineage etc.
Knowledge and experience of building and managing cloud platforms with Kubernetes (with a commitment to continuous learning and improvement
Hands on experience with all phases of the software development lifecycle, including design, development, testing, deployment and support.
Excellent analytical skills to triage and resolve production issues and outages
Experience with on-call support, resolving incidents and release management practices.
Strong communication and influencing skills
Very strong technical capability and passionate about learning new technologies and cloud trends
Experience and willingness to work in globally distributed agile teams.
Experience with Snowflake and Data Science & AI ML
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Knowledge of Logging, Telemetry and Data security on AWS/Azure
The Skills that is good to have for this role
Certification in public cloud (Azure or AWS)
Experience with object-oriented/object function scripting languages: Java, C++, Scala, etc. is preferred
How Your Work Impacts the Organization
Fidelity Data & AI team is building Data management & Cataloging solutions to support business functions and build future Data, AI and Analytics platforms.
The Expertise we’re looking for
7+ years of experience in mentioned Data Engineering with Data Management
Graduate / Post Graduate
Location: EGL, Bangalore
Shift timings: 11:00 am - 8:00pm