Staff Performance Analysis Engineer

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.

Staff Engineer Data
Consult with management, customers, and staff to recommend and implement process and procedure improvements.
Lead and provide technical guidance on projects, foster teamwork, and manage multiple delivery work streams.
Identify, mentor, and guide less experienced team members; Design, develop, and deliver end-to-end data solutions, including architecture design, proof of concept, coding, test planning, and deployment.
Support and uphold enterprise architecture and design standards, ensuring adherence across all data engineering efforts.
Engineer across multiple platforms and technologies such as DB2, UDB, SQL Server, Oracle, Teradata, Netezza, BI Tools, ETL, CDC, and application servers.
Define systems software and hardware requirements and specifications, coordinating integration of systems and subsystems.
Take accountability for components of data management, data integration, and information systems, including installation, configuration, administration, performance evaluation, and enhancement.
Test and debug software, including SQL and infrastructure components, and modify or debug vendor utilities and packages as needed.
Diagnose, isolate, and resolve software and system issues; perform root cause analysis and implement solutions.
Ensure quality, security, and compliance requirements are met for all supported areas; oversee creation, updates, and testing of business continuity plans.
Modify, install, and prepare technical documentation for system software applications and solutions.
Stay current with advancements in hardware, software, and best practices; evaluate vendor-supplied software and recommend improvements.

Experience Required:
Minimum 7 years of experience in specific domains, systems and infrastructures, subsystems, and application integration.
At least 5 years of experience acting as a lead engineer for major systems and their subsystems, overseeing complex computer applications and/or application initiatives.
In-depth, advanced knowledge across key domains, including data integration, systems programming, and information management.
Advanced proficiency in information and data services, as well as multiple high-level programming and query languages.
Demonstrated strong analytical, judgment, and problem analysis techniques.
Experience working with geographically distributed teams and across different time zones.
Self-starter with a demonstrated ability to learn beyond formal training and a strong aptitude for delivering high-quality products.
Builds strong team morale, supports others, and leads by example, ensuring shared success and professional growth.
Actively seeks feedback, encourages continuous improvement, and pursues learning opportunities to stay ahead in the field.
Thinks proactively, anticipates future needs, and shapes solutions that align with long-term business objectives.

ETL: Azure Data Factory/ Cloud Data Fusion/ Informatica/ Apache NiFi / AWS Glue
Cloud platform: Azure/ GCP/ AWS
Data warehousing: Big Query/ Data Lake/ Snowflake/ Redshift
Data Processing: Databricks/ Aurora/ Looker + Big data (Hadoop/Spark)
Data streaming: - Kafka/ Cloud Data Flow/ IBM MQ/ Flink

Experience with Power BI or ThoughtSpot for data visualization and analytics.
Expertise in AI, preferably in the context of data engineering.
Experience with Stonebranch for job scheduling.
Knowledge of CI/CD pipelines and DevOps practices.

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