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2 Days ago

Senior Data Engineer

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Noida, Uttar Pradesh, India
Information Technology
Full-Time
Fidelity Investments

Overview

Job Description

Job TitleLead - Data Engineering

The Purpose of This Role

At Fidelity, we use data and analytics to personalize incredible customer experiences and develop solutions that help our customers live the lives they want. As part of our digital transformation, we have significant investments to build cloud data lake platforms. We are looking for a hands-on data engineer who can help us design and develop our next generation Cloud Data Lake and Analytics Platform for Workplace Solutions.

The Value You Deliver

Fidelity's Workplace Investing Reporting and Analytics chapter ( India) is seeking a Principal Data Engineer to play a key role in building a Power BI and snowflake-based reporting application.

Team is responsible for building reports in Power BI with Snowflake as the source of data for the reports. It will also develop lot of custom capabilities on AWS

Team needs to work closely with the Enterprise Data Lake (EDL) team for data acquisition for the reports and with the Oracle Analytics Server (OAS) team to migrate the OAS based reports to Power BI.

This person will be self-driven and work with technical partners, and assist developers and testers as needed. The role demands significant collaboration with members of various business and IT groups throughout the lifecycle of a typical project. Our engineering team is innovative, diverse, hardworking, and self-driven. We work in a very dynamic agile environment.

The Expertise We are looking for

Bachelor’s degree in Computer Science / similar technical subject area and 10+ years’ experience

Extensive experience in Data warehousing , Snowflake , Data lake echo systems

Hands-on experience e experience in Data engineering, and Data Modeling

Hands On experience in Cloud ( AWS/Azure)

experience in Power BI or OAS , Data analysis

Extensive experience in working in a data warehouse environment

Experience In Airflow, Oracle, PL/SQL, Informatica Is Required

Experience in delivering DaaS ( Data as a Service)

Functional/Domain experience of workplace investment plans such as 401k retirement plans, HSA etc. is preferred

The Skills Are Key To This Role

Working in a team of developers and analysts to deliver business value by coordinating with Architects, Analysts and Product owners

Strong collaboration skills

Excellent Communication Skills Required

Strong problem resolution skills required

Critical thinking and the ability to work in an agile environment

The Value You Deliver

Accountable for consistent delivery of functional software – sprint to sprint, release to release

Perfection in software development practices and procedures

Participates in application-level architecture – able to drive the solution

Develops original and creative technical solutions to ongoing development efforts

Responsible for QA readiness of software work you are doing (end-to-end tests, unit tests, automation)

Responsible for supporting implementation of initiatives

Works on sophisticated assignments and often multiple phases of a project

Assists in developing departmental technical policies and procedures

How Your Work Impacts The Organization

WS (Workplace Solutions) helps our customers save and invest through workplace retirement savings plans, build lifetime relationships with customers and provide employers with cost-effective, integrated employee benefit solutions. WS serves customers online, over the phone, and through a nationwide network of investor centers. WS is also committed to helping drive employee retirement readiness by delivering leading-edge financial solutions to employers, including recordkeeping, cash management products and services and personal advisory services (PAS).

The Expertise we’re looking for

  • 8+ years of experience in Data Warehousing, Big data, Analytics and Machine Learning
  • Graduate / Post Graduate

Location: Bangalore

Shift timings: 11:00 am - 8:00pm

Certifications

Category:

Information Technology
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