Albertsons Companies, Inc Looking for Principal Data Engineer – Data Platform Full Time

About the company

Albertsons Companies is one of the largest food and drug retailers with 2,300+ stores. The Albertsons Companies family of brands includes some of the most prominent brands in food retailing, with a growing base of loyal shoppers. Thanks to the professionalism, diversity, spirit, and friendliness of our people, we have locations across the U.S.

The Enterprise Data & Analytics team at Albertsons Companies is looking for an experienced Data Engineer to work for one of the most transformational food and drug retailers in the United States. Albertsons operates over 2,300 stores under 19 well-known banners including Albertsons, Safeway, Vons, Jewel-Osco, Shaw’s, Acme, Tom Thumb, Randall’s, United Supermarkets, Pavilions, Star Market, Haggen and Carrs. The company reported revenue of over $60 billion from over 34 million weekly shoppers and is the third largest private company in the country.

What you will be doing

The Enterprise Data & Analytics team at Albertsons inspires to build best in class customer experiences and revolutionize the food and drug retail industry. We are looking for people who are excited in re-imagining the grocery experience by harnessing the power of AI and digital technologies. The Data Engineering team uses a decoupled and near real time data integration paradigm to make data available to improve pricing, promotions management, assortment planning, vendor negotiations, store operations etc. to proactively improve product lifecycle.

You will be responsible for designing, developing, testing and managing large scale, high-performance data processing systems (batch and/or streaming) in a Multi Cloud environment to provide a robust analytical pipeline. The candidate will have a background in computer science or a related technical field with experiences working with high volume, message-based data integration technologies. A successful candidate will be both technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions. You are a self-starter, smart yet humble, with a bias for action.

The position will be based in Pleasanton CA or Phoenix, AZ.

Main responsibilities

Key Responsibilities Include, But Are Not Limited To

• Lead, architect, design and develop secure, scalable, high-performance and reliable and cost-effective Big Data platform software and services in a Multi-Cloud environment
• Lead and mentor junior Data and BI engineers
• Provide technical leadership in Data Engineering practices. Partner with architecture, Infosec, and development teams across the entire enterprise to establish a strong relationship and trust for prioritizing and delivering projects on time and with a high degree of quality.
• Establish patterns for re-use, standards, and best practices for Data Engineering & Analytics such that data timeliness and quality are maximized.
• Partner with the Audit, Compliance and Governance leaders to ensure data is secured and conforms to the guidelines laid out by the organization and the industry.
• Partner with cross-functional teams to deliver large scale strategic projects as well as ongoing operational activities related to Big Data Platform. Interface with cross functional leaders and represent point of views to drive measurable success.
• Drive meetings and lead discussions. Prioritize projects across the team and allocate resources to meet business and team goals.

What we are searching for

Qualifications

• Bachelor’s or Master’s in computer engineering, computer science or related area.
• 12+ years of technical engineering experience
• 7+ years proven experience in developing and deploying data pipelines, preferably in the Cloud; Azure and Snowflake experience is a plus
• 5+ years proven experience in building data warehouse platforms in dealing with star & snowflake schemas as well as slowly changing dimensions.
• 4+ years of strong experience with SQL and stored procedures
• 2+ years of proven expertise in creating pipelines for real time and near real time integration working with different data sources – flat files, XML, JSON, Avro files and databases
• 1+ years of experience with at least one programming language like Python, Java or Scala
• Knowledge on Big Data platforms and applications is a plus.
• Data