Data Engineer

24 hours ago

Bangalore, India ANSR Full time
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. 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.

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.

Position Title: Advanced Engineer Data
Design and develop data pipelines and solutions for reporting and analytics with moderate guidance.
Contribute to building and maintaining ETL processes and data workflows, ensuring scalability and efficiency.
Diagnose and fix issues in data systems; participate in troubleshooting and root cause analysis.
Monitor the performance of databases and data pipelines, suggesting basic optimizations.
Ensure data quality by performing validation, cleansing, and consistency checks.
Support patching and updates to keep applications and data platforms secure and up to date.
Collaborate with cross-functional teams using Agile practices (sprints, standups, retrospectives).
Experience Required:
~3+ years of experience in data engineering or related fields.
~ Good understanding of data structures, databases, and programming fundamentals.
~ Hands-on experience with at least one programming/scripting language (Python, Java, or Scala).
~ Practical experience working with SQL/PL-SQL and relational databases (e.g., MySQL, PostgreSQL, or SQL Server).
~ Exposure to data modeling, ETL concepts, and data warehousing solutions (e.g., BigQuery, Snowflake, Data Lake).
~ Familiarity with cloud platforms such as GCP or Azure for running and supporting data workloads.
~ Experience using version control tools (e.g., Actively seeks feedback, pursues growth opportunities, and strives for excellence through continual skill development.

Programming Fundamentals: SQL, Python
Relational/ Non-relational Databases: Azure SQL DB/ MongoDB/ Cassandra
ETL: Azure Data Factory/ Cloud Data Fusion/ AWS Glue

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