Description

You will own the end-to-end design and maintenance of enterprise data solutions.

This role is on-site.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, Synapse Analytics, and Azure Data Lake Storage.
• Optimize data models, star schemas, and warehouse structures for analytical use.
• Partner with stakeholders to document requirements, create business cases, and develop process models.
• Lead technical reviews and solution architecture validation across multiple locations.
• Maintain daily operations of data pipelines to ensure timely and accurate reporting data availability.

Required Skills

• 8+ years of relevant experience, including 5+ years in designing data architecture and managing large-scale system integration.
• Proficiency in SQL and Python (including Pandas/NumPy).
• Expertise with Azure services: Data Factory, Databricks, Synapse Analytics, Data Lake Storage.
• Experience with data modeling techniques, including star schema design.
• Familiarity with BI tools such as Tableau and Power BI.
• Knowledge of data governance best practices and SDLC.
• Experience with Informatica IICS and Informatica MDM.
• Bachelor's or Master's degrees.

Preferred Skills

• Ability to manage requirements gathering and present findings to stakeholders.
• Experience with Collibra.

Key Skills

Education

Bachelor's or Master's degrees