Data Engineer
Core
Design, build, and operate scalable data pipelines and platforms to transform raw data into reliable assets for decision-making, analytics, and machine learning.
Role type
Data Engineer
Builds
Data pipelines, data models, and cloud-native data systems
Domain
Cloud data engineering and modern data warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT pipeline design, SQL, Python, cloud data ecosystems (AWS/Azure/GCP), data warehousing architectures, CI/CD for data workflows, data governance
Preferred skills
Streaming and lakehouse architectures, mentoring peers, influencing data architecture standards
Technologies
Spark, Airflow, dbt, Kafka, AWS Glue, Redshift, Azure Data Factory, Synapse, GCP BigQuery, Dataflow
Responsibilities
Design and build robust, scalable ETL/ELT data pipelines; Develop data models and architectures for efficient analytics; Implement data ingestion, transformation, and quality checks; Leverage cloud services to design secure, cost-efficient data systems; Ensure observability, reliability, and governance across pipelines; Collaborate with stakeholders to translate business requirements into technical solutions
Seniority
Mid-level to Senior, hands-on IC
