Enterprise Data Operations Senior Analyst
Core
Design and implement scalable enterprise-grade data pipelines and ETL/ELT frameworks for ingestion, transformation, and curation of structured and unstructured data into a cloud-based Data Lake to support analytics, business intelligence, and data science use cases.
Role type
Senior IC data engineering analyst (cloud data platforms)
Builds
Enterprise data pipelines, ETL/ELT frameworks, and data governance standards for PepsiCo's hybrid cloud environment
Domain
FMCG / Financial Planning and Analytics / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, PySpark, SparkSQL, performance optimization, Azure Data Factory, Databricks, DBT, Azure Synapse, Delta Lake, Unity Catalog, CI/CD pipelines, Git, data lineage, data profiling, data quality controls
Preferred skills
Knowledge of P&L structures, Financial Planning and Analytics priorities, Agile delivery frameworks
Technologies
Azure Data Factory, Databricks, DBT, Azure DevOps, Git, Unity Catalog, Azure Synapse, Delta Lake, Azure Data Lake Storage Gen2
Responsibilities
Design and implement scalable data pipelines for data ingestion and curation; optimize ETL/ELT frameworks for high-volume workflows; enforce data governance policies and access controls; tune performance across Delta Lake and Azure Synapse; collaborate with cross-functional teams to translate business needs into scalable data architectures
Seniority
Senior, hands-on IC
