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Data Engineer

Inherent Technologies
West Chester, PA Full Time
POSTED ON 9/24/2025
AVAILABLE BEFORE 10/23/2025
Position: Data Engineer

Location: West Chester, PA***Day 1 Onsite***

Duration: 1 Years

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.

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.

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