Data Engineer
Core
Building and maintaining scalable data pipelines to support analytics and business insights for a global consumer intelligence company.
Role type
Data Engineer
Builds
Scalable data pipelines (ETL/ELT), data ingestion, transformation, and delivery solutions
Domain
Consumer intelligence, retail analytics, data engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, data pipeline design, ETL/ELT processes, data warehousing, data modeling, debugging, cloud platforms
Preferred skills
Spark/PySpark, orchestration tools (Airflow), DBT, CI/CD, DataOps
Technologies
Azure, AWS, GCP, Snowflake, Redshift, BigQuery, Airflow, DBT, Spark, PySpark
Responsibilities
Build and optimize data pipelines for large-scale datasets; Develop scalable data solutions for ingestion and transformation; Ensure data quality and validation; Collaborate with stakeholders to translate data needs into technical solutions; Debug and troubleshoot data issues; Support data modeling efforts (star schema, dimensional models)
Seniority
Mid-level (2–4 years experience)
