onsite
Lead Consultant Data Engineer - Excella
Data Engineer
Lead data engineering initiatives, designing and implementing scalable data pipelines on AWS and Snowflake using Python, SQL, and Airflow while guiding junior engineers and ensuring best‑in‑class data architecture.
About the role
Key Responsibilities
- Architect, develop, and maintain end‑to‑end data pipelines on AWS services (S3, Redshift, Glue) and Snowflake.
- Design robust data models and schemas to support analytics, reporting, and machine‑learning workloads.
- Lead a team of data engineers, providing mentorship, code reviews, and technical guidance.
- Implement CI/CD for data workflows using Apache Airflow, Terraform, and Git.
- Collaborate with business stakeholders to translate requirements into scalable data solutions.
Requirements
- 5+ years of hands‑on experience in data engineering, with deep expertise in Python and SQL.
- Proven experience building data pipelines on AWS and Snowflake, including data ingestion, transformation, and orchestration.
- Strong knowledge of ETL/ELT best practices, data modeling, and cloud‑native data warehousing.
- Experience leading technical teams, conducting design reviews, and driving engineering standards.
- Familiarity with infrastructure‑as‑code (Terraform/CloudFormation) and workflow orchestration tools such as Apache Airflow.
Skills
pythonsqlawssnowflake