Enterprise Data Operations Senior Analyst (Multi positns)

Design & implemnt scalable, enterprise-grade data pipelins for ingestn, transformatn, & curatn of structurd & unstructurd data into PepsiCo’s cloud-basd Data Lake, leveragg Azure Data Factory, Databricks, DBT, & rel tools. Positn reqs a Bach deg (US or For Equiv) in Comp Sci, Data Engg, Info Tech, Analytics, Math, Physics, or othr tech fields & 4 yrs of exp in hands-on sftware dvlpmt, data engg, data analytics, & systms architecture OR Master’s deg (US or For Equiv) in Comp Sci, Data Engg, Info Tech, Analytics, Mathe, Physics, or othr tech fields & 2 yrs of exp in hands-on sftware dvlpmt, data engg, data analytics, & systms architecture. Must have 4 yrs of exp (or 2 w/ Master’s) in: Strong prog expertise in Python, SQL, PySpark, SparkSQL dvlpmnt, & performance optimizatn for proc lrge-scale datasets. Must have 2 yrs of exp w/: wrkg w/ cloud data platfrms, including Azure Data Lake Storage Gen2, Azure Synapse Analytics, and Delta Lake; designing and implementing enterprise-scale ETL/ELT data pipelines using technologies Azure Data Factory, DBT, and Databricks Workflow; implementing CI/CD pipelines & systm monitorg usg platfrms Azure DevOps, w/ strong familiarity in code versn contrl tools Git; collaboratg cross-functionlly w/ bus stakehlders & tech teams to deliver scalable, data-drivn innovatn; & demonstratd understanding of FMCG, P&L structures, Financial Planning and Analytics priorities, with a strong ability to translate business needs into actnable data solutns. Telecommutg permittd 50%: wrk may be performd w/in normal commuting distance from the PepsiCo office in Plano, TX. Sal: $118,893 - $148,000/yr. QUALIFIED APPLICANTS: Visit http://www.pepsicojobs.com & search req ID # 464503 or job title. Click on matching job & follow directions to submit resume.