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Data Engineer

2 weeks ago

Bengaluru, Karnataka, India Giant Eagle GCC Full time
Since our founding in 1931, Giant Eagle, Inc. has evolved into one of the top 40 largest private corporations in the U.S. and one of the country's largest food retailers and distributors. 7billion in revenue, we are committed to investing in people, technology, and data to elevate our customer's experience across multiple touchpoints. It helps us follow on our commitment to serving others and improving our communities.

Our team of more than 350 members at the GCC enables us to expand internal capabilities in the areas such as data analytics, merchandising and eCommerce, quality engineering, and automation to generate insights for faster decision-making and help us accelerate our business strategy. Our team in India plays a pivotal role in helping the company transition to new ways of working by redefining the food and grocery shopping experience for over 4.The Enterprise Data Management Team for Giant Eagle is critical to accelerating consistent and uniform data services and operational excellence at scale for our enterprise.This role will report into the Director of Enterprise Data Management and will collaborate across the various teams within our business, technology and data & analytic teams. This role delivers the data quality solutions and capabilities as defined by the Director/Manager and provides input into the strategic goals of the Data Quality product team at Giant Eagle – in alignment with the overall Data & Analytics strategy and business objectives.

This role is responsible to deliver best in class data quality capabilities, services and solutions for the enterprise. The Data Quality Engineer will actively engage in the project definition/scoping and requirements phase, effort estimation/adherence, issue escalation, detailed timeline definition and adherence for solutions involving data, technology and business processes. The scope includes the relevant components required to drive the data quality management maturity in support of both operational and analytical excellence at scale – across the dimensions of People, Process, Technology and Data.Data Quality metrics will be delivered in a relevant and meaningful way to the Giant Eagle Leadership Team.

Experience Required: 3 to 5 years as data quality or data engineer; Experience across a variety of data quality disciplines that include: Data Quality Management, Data Quality Automation or Data designs & architecture; in particular Azure Data Factory, Azure SQL, Azure Functions, BLOB Storage & Event Grid; DevOps & Agile methodology; Data design for improving business operations & propelling BI / Analytics

Experience Desired: Databricks & Graph DB; ETL, ELT & Data Integration; Retail data, systems and application experience

Bachelor's degree

General SQL Knowledge / .net / C#

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Architect solutions that encompass Data Quality platform & broader data ecosystem

Design & engineer new data qualities capabilities & automation: Design & development of automated data quality jobs / workflows; Design & development of data quality platform in Azure; Assist with QA, DEV and Prod environment deployments; Assist with creation of testing plans, resolve any defect associated with development

This role will liaise across all relevant areas and with stakeholders at any level both within IT DnA team and across all function areas to deliver data quality capabilities

Engage with collaborative and proactive approach to solving key data needs

Define thorough workflow processes that enhance efficiency, minimize human touch and ensure high data quality results

Bring best-in-class and right sized Data Quality solutions to life at Giant Eagle

Design and deliver Data Quality solutions in a highly scalable, collaborative & agile manner

Depth of retail and/or product business process knowledge across disciplines required for successful Data Quality designs.

Leverage a data centric approach across all demands to build once and deploy many

Adhere to agreed upon Product/Project Management principles to ensure work delivery alignment to strategic imperatives

Participate in an on-call support rotation