Senior 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. Position Title: Senior Engineer Data Evaluate and select vendor-supplied hardware and software packages to best meet business needs. Engineer across multiple domains, such as DBMS (DB2, UDB, SQL Server, Oracle, Teradata, Netezza), BI tools, ETL, Change Data Capture, and application servers. Own critical components of data management, integration, and information systems—including software installation, configuration, administration, performance evaluation, and enhancement. Design, implement, and upgrade solutions for system installations, configurations, testing, and deployment. Define and document systems software/hardware requirements, system specifications, and necessary customizations. Engineer the physical design of data, subsystems, and integration for robust, scalable solutions. Test and debug software (including SQL and infrastructure components) for reliability and performance. Stay current with advances in hardware and software, including emerging data engineering best practices. lead troubleshooting and root cause analysis. Oversee quality, security, and compliance, including updating and testing business continuity plans. Lead technical initiatives and mentor less experienced team members. Experience Required: Minimum 5 years of experience in specific domains, systems and infrastructures, subsystems, and application integration. Specialized knowledge of information systems, data structures, programming methodologies, graphical user interfaces, and control languages. Advanced expertise in multiple query languages for data processing and analytics. Proven ability to understand client and stakeholder expectations, proactively identify and resolve issues that may impact project delivery. Experience collaborating with geographically distributed teams and working across different time zones. Self-motivated with a demonstrated ability to learn independently and a strong aptitude for delivering high-quality solutions beyond formal training. Actively seeks feedback, pursues growth opportunities, and strives for excellence through continual skill development. Relational/ Non-relational Databases: Azure SQL DB / My SQL / Postgre SQL/ Mongo DB / Cassandra ETL: Azure Data Factory/ Cloud Data Fusion/ Informatica/ Apache Ni Fi / AWS Glue Cloud platform: Azure/ GCP/ AWS Data warehousing: Big Query/ Data Lake/ Snowflake/ Redshift Data Processing: Databricks/ Aurora/ Looker + Big data (Hadoop/Spark)Experience with Power BI or Thought Spot for data visualization and analytics. Expertise in AI, preferably in the context of data engineering. Experience with Stone branch for job scheduling. Knowledge of CI/CD pipelines and Dev Ops practices.