Collaborate with data architects, analysts and business teams to deliver reliable data solutions. Key Responsibilities: Design and implement ETL/ELT pipelines using Azure Data Factory .
Numbers & Facts
Location
Princeton, NJ
Industry
Other/Not Classified
Company Size
100 to 499 employees
Description
Minimum Mandatory Skills ADF, Data Bricks Desired Skills Python, PySpark
Key Responsibilities:
Design and implement ETL/ELT pipelines using Azure Data Factory.
Develop and optimize data processing workflows in Azure Databricks using PySpark.
Integrate data from multiple sources into a unified data platform.
Ensure data quality, security and compliance across all processes.
Collaborate with data architects, analysts and business teams to deliver reliable data solutions.
Monitor and troubleshoot data pipelines for performance and reliability.
Implement best practices for data governance, metadata management and data lineage.
Required Skills & Qualifications:
6–8 years of experience in data engineering and data platform development.
Strong hands-on experience with Azure Data Factory, Azure Databricks and PySpark.
Proficiency in SQL and working with relational databases.
Experience with data modeling, data warehousing and big data processing.
Familiarity with Azure ecosystem (Data Lake, Synapse, Key Vault, etc.).