Position: Data Engineer
Location: West Chester, PA*Day 1 Onsite
Azure Senior Data Lead with Azure Data Factory (ADF),Azure Databricks,SQL,Oracle PL/SQL,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. (1.)
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 uptodate 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.
- Strong communication and interpersonal skills for effective collaboration with team members and stakeholders.
Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python would be a plus.