Description

You will architect and implement data engineering and integration solutions to support business intelligence, analytics, and data science teams.

Responsibilities

• Architect ETL/ELT pipelines and integration standards, including real-time/batch loading, CDC, and data enrichment.
• Design and develop data models, semantic layers, and automated data exception frameworks.
• Lead technical discussions, perform code reviews, and document solution designs for Data Warehouse and Data Lake environments.
• Own the end-to-end delivery of data products, from initial source data analysis to release management and implementation.
• Collaborate with cross-functional teams using agile methodologies to align data integration with business strategy.

Required Skills

• 6+ years of experience as a developer, designer, or architect for ETL, data warehouse, and data lake systems.
• 4+ years of experience in data warehousing and integration methodologies.
• 4+ years of experience in data modeling, delivering both logical and physical designs for transactional and analytical systems.
• Advanced technical expertise in SQL and Snowflake.
• Hands-on experience with Python, Airflow, Glue, DBT, and Workato.
• Strong understanding of data architecture within an AWS cloud environment.
• Proven experience in data feature engineering and API platforms.
• Ability to reverse engineer systems to resolve complex technical issues.
• Strong technical design and documentation skills.

Key Skills

Education

Any Graduate