Data Engineer

Data Engineer

Location - West Chester, PA

Onsite.

Azure Senior Data Lead with Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python

Job Summary: The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions.

Key Responsibilities:

• Lead the end-to-end technical implementation of data projects using Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, and Python.
• Design and develop efficient and reliable ETL processes for large datasets.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Optimize data workflows, troubleshoot issues, and ensure data quality and integrity.
• Implement best practices for data security, governance, and compliance.
• Provide technical guidance, mentoring, and support to junior team members.
• Stay up-to-date with the latest trends and technologies in data engineering and analytics.

Skill Requirements:

• Proficiency in Azure Data Factory (ADF) and Azure Databricks for data integration and processing.
• Strong skills in writing complex SQL queries for data manipulation and analysis.
• Experience with Oracle PL/SQL for database development and management.
• Proficient in Python programming language for automation and scripting tasks.
• Solid understanding of data warehousing concepts, ETL processes, and data modeling.
• Ability to work in a fast-paced environment and manage multiple priorities effectively.
• Excellent problem-solving skills and attention to detail.