Senior Engineer Software - Data Engineering [T500-29986]

Albertsons Companies India; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Albertsons India Capability Center in Bengaluru is seeking a data engineer to build end-to-end data pipelines, optimize data models, and enable data-driven decisions for a global retailer.

You will design ETL pipelines using Python and Google Cloud services, collaborate with cross-functional teams, and contribute to scalable data architectures while embracing Agile practices.

Qualifications

• Advanced SQL skills; BigQuery mandatory for lead/manager roles.
• Experience with Python and automation.
• Hands-on with GCP services: BigQuery, GCS, Dataflow, and Cloud Composer.
• Strong data modeling, ETL processes, and data warehousing concepts.
• Experience with streaming systems such as Kafka.
• Familiarity with version control systems like Git.
• Proven experience working in Agile environments.

Responsibilities

• Design, develop, and optimize BigQuery stored procedures and complex SQL queries.
• Build and maintain robust ETL pipelines using Python and Google Cloud Dataflow.
• Manage data ingestion and transformation workflows using Google Cloud Composer or Stonebranch.
• Utilize Google Cloud Storage (GCS) for data staging and archival.
• Implement and maintain scalable data models and data warehousing solutions.
• Collaborate with cross-functional teams using Agile methodologies (Epics, Stories, Standups, Retrospectives).
• Document data processes and flows using Confluence.
• Track and manage tasks using Jira.

Skills

SQL

BigQuery

Python

GCP

Data modeling

ETL

Kafka

Git

Agile

Automation

Tools

Power BI

ThoughtSpot

Snowflake

Oracle

DB2

Stonebranch

Git

Job description

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons India Capability Center:

At Albertsons India Capability Center, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.

At the Albertsons India Capability Center, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons India Capability Center, associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.

Albertsons Media Collective is the retail media network arm of Albertsons Companies. It connects retail brands with shoppers by delivering personalized, digitally native, and shopper-centric advertising experiences across both in-store and online channel The platform leverages Albertsons’ extensive first-party data and technology to help brands target and engage loyal shoppers and loyalty program members

Albertsons Media Collective offers omnichannel advertising solutions, including native display, sponsored products, email, search, and app placements, as well as innovative offerings like Collective TV—a solution for planning, executing, and measuring video ad campaigns across streaming, digital video, and soon linearTV. The network is designed to drive sales, accelerate growth for partner brands, and deliver measurable results through data-driven insights and closed-loop measurement.

Position Purpose:

Data Engineering at Albertsons is inspired to build best in class customer experience and revolutionize the food and drug retail industry. We are looking for people who are excited about re-imagining the grocery experience by harnessing the power of AI and digital technologies. The Data Engineering team uses the Big Data paradigm to make data available for data scientists and multitude of other business users to draw insights to delight our customers, to improve store operations, to optimize supply chain and to proactively improve product lifecycles.

You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turn into business impacts on a regular basis The candidate will have a background in computer science or a related technical field with experience working with large data sets and a passion towards enabling data-driven decision making. You are a self-starter, smart yet humble, with a bias for action.

Key Responsibilities:

• Design, develop, and optimize Big Query stored procedures and complex SQL queries.
• Build and maintain robust ETL pipelines using Python and Google Cloud Dataflow.
• Manage data ingestion and transformation workflows using Google Cloud Composer or Stone branch.
• Utilize Google Cloud Storage (GCS) for data staging and archival.
• Implement and maintain scalable data models and data warehousing solutions.
• Collaborate with cross-functional teams using Agile methodologies (Epics, Stories, Standups, Retrospectives).
• Document data processes and flows using Confluence.
• Track and manage tasks using Jira.

Required Qualifications:

• Advanced proficiency in SQL (Big Query experience is highly preferred; mandatory for lead and manager roles).
• Experience with Python (or another scripting language) and automation.
• Hands-on expertise with GCP services: Big Query, GCS, Dataflow, and Cloud Composer (mandatory for lead and manager roles).
• Strong understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience with streaming systems such as Kafka.
• Familiarity with version control systems like Git.
• Proven experience working in Agile environments.

Nice to Have:

• Experience with Power BI (preferred that at least one team member has Power BI experience) or ThoughtSpot for data visualization and analytics.
• Exposure to other cloud platforms, especially Microsoft Azure.
• Awareness of Snowflake, Oracle, and DB2.
• Expertise in AI, preferably in the context of data engineering.
• Experience with Stonebranch for job scheduling.
• Knowledge of CI/CD pipelines and DevOps practices.