onsite
Data Engineer III - Deloitte
Data Engineer
Senior data engineer responsible for designing, building, and maintaining scalable data pipelines and workflows on cloud platforms, enabling analytics, reporting, and operational use cases for AI‑driven solutions.
About the role
Key Responsibilities
- Design, develop, and maintain robust ETL/ELT pipelines using Python, SQL, and Apache Airflow to ingest and transform large‑scale data sets.
- Implement and optimize data storage solutions on Snowflake and other cloud data warehouses, ensuring high performance and reliability.
- Collaborate with data scientists, analysts, and product teams to deliver data products that support AI models, reporting, and operational analytics.
- Deploy and monitor data workflows on AWS services (e.g., S3, Redshift, Lambda) and ensure compliance with security and governance standards.
- Perform performance tuning, troubleshooting, and root‑cause analysis for data pipelines and Spark jobs.
- Document architecture, data lineage, and best practices to facilitate knowledge sharing across the organization.
Requirements
- 5+ years of professional experience building data pipelines in cloud environments.
- Strong proficiency in Python, SQL, and data orchestration tools such as Apache Airflow.
- Hands‑on experience with Snowflake, AWS data services, and big‑data processing frameworks like Spark.
- Demonstrated ability to translate business requirements into scalable data solutions and to work collaboratively in cross‑functional teams.
- Clearance eligibility and a track record of adhering to security and compliance standards.
Skills
pythonsqlsnowflakeaws