Description

You will lead the design and implementation of technical data solutions and ETL/ELT architectures.

Responsibilities

• Define ETL/ELT architecture including integration standards for real-time/batch data, CDC, data validation, and enrichment.
• Architect scalable solutions and data models with automated data exception frameworks.
• Own solution design, hands-on development, technical oversight, and release management for data products.
• Analyze source data and processing logic to perform reverse engineering and issue resolution.
• Collaborate with cross-functional teams using agile methodologies to align data integration with business objectives.

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 logical and physical data modeling for transactional and analytical systems.
• Expert-level proficiency in SQL and Snowflake.
• Hands-on experience with Python, Airflow, Glue, DBT, and Workato.
• Strong understanding of data architecture within an AWS cloud environment.
• Experience with data lake architecture and design.
• Proven ability in data feature engineering and API platforms.
• Strong technical design and documentation skills.

Preferred Skills

• Experience acting as a Senior Data Analyst to gather and analyze source data and operational system usage.

Key Skills

Education

Any Graduate