Data Engineer
Core
Design, build, and maintain scalable data engineering/ETL solutions and data architecture for enterprise analytics systems and machine learning applications.
Role type
Senior Data Engineer (ETL & Data Architecture)
Builds
Data ingestion pipelines, ETL/ELT processes, and data warehouse platforms (on-prem & cloud) for analytics and ML.
Domain
Manufacturing (Personal care, household products, diapers, wipes, detergents)
Deliverable
production ML models | product features
Required skills
SQL, Python, ETL/ELT processes, data modeling, data warehouse concepts, data integration patterns, DevOps practices, data profiling, troubleshooting
Preferred skills
Manufacturing industry experience, visualization tools (QlikView, Tableau, Power BI), Azure Databricks, ADF
Technologies
SQL, Python, Azure Databricks, ADF, QlikView, Tableau, Power BI
Responsibilities
Design and implement data architecture and ETL solutions; Develop data ingestion pipelines and frameworks; Define data storage and retrieval mechanisms; Create and maintain data pipelines and ETL/ELT processes; Perform data profiling, analysis, and troubleshooting; Identify technical areas for improvement and present business cases.
Seniority
Mid-Senior (3+ years experience)