Senior Data Engineer at Fidelity Investments

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

02 Aug, 26

Salary

0.0

Posted On

04 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud Native Development, AWS, Java, Python, Kafka, SQL, Kubernetes, Data Governance, Data Management, CI/CD, Jenkins, REST API, Snowflake, Data Modeling, Software Development Lifecycle

Industry

Financial Services

Description

Job Description: 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 Certifications: Category: Information Technology At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation please contact the following: For roles based in the US: Contact the HR Leave of Absence/Accommodation Team by sending an email to accommodations@fmr.com, or by calling 800-835-5099, prompt 2, option 2 For roles based in Ireland: Contact AccommodationsIreland@fmr.com For roles based in Germany: Contact Accommodationsgermany@fmr.com Fidelity Privacy Policy

Responsibilities

Design and develop next-generation cloud-enabled data capabilities and governance solutions. Collaborate with global teams to support data needs for various products and AI initiatives.