Data Engineer

We are currently seeking a Data Engineer to join our team. This role will support our data-driven decision-making processes by analyzing and visualizing complex datasets, implementing modern data management tools, and collaborating with cross-functional teams to derive actionable insights. The individual will work closely with business teams to understand data needs, manage and improve data pipelines, and drive the transformation of our data infrastructure to a modern, scalable platform. Additionally, this role will support our broader efforts in implementing machine learning and advanced analytics capabilities to enhance business decision-making., To include, but not limited to the following:

• Design, implement, and maintain data architecture to support business intelligence and reporting needs.
• Build and manage data pipelines to integrate, clean, and transform data across systems (ETL processes).
• Collaborate with business teams to understand data requirements and deliver scalable data solutions.
• Monitor data quality and optimize data flows to ensure accuracy, integrity, consistency, and compliance with organizational standards.
• Troubleshoot and resolve data-related issues promptly.
• Assist in migrating existing data infrastructure to modern, cloud-based platforms, ensuring scalability and reliability.
• Develop and implement business intelligence solutions, including reports, dashboards, and data visualizations.
• Create and maintain data models and database designs that align with business needs.
• Support machine learning initiatives by preparing data for analysis and modeling.
• Provide actionable recommendations based on data analysis to support executive and operational decision-making.
• Lead and participate in data governance and quality initiatives, adhering to best practices and standards.
• Develop training materials and conduct sessions to ensure effective use of data tools across teams.
• Stay abreast of emerging trends in data analytics and suggest ways to implement innovative solutions.

• Bachelor’s degree in computer science, Data Science, Information Systems, or a related field (or equivalent experience).
• 3+ years of experience in data engineering, or a similar role.
• Strong knowledge of data modeling, database design, and ETL processes.
• Advanced SQL skills for querying and data manipulation.
• Proficiency in the Microsoft Azure ecosystem, including Azure Data Factory, Azure Synapse Analytics, Azure Purview, and Azure SQL Database.
• Strong experience with Power BI for data visualization.
• Experience with data integration tools (e.g., Azure Data Factory, SSIS, or similar).
• Hands-on experience with business intelligence tools.
• Strong problem-solving skills and ability to work on complex technical challenges.

Preferred:

• Familiarity with Databricks for data engineering and analytics.
• Knowledge of data governance, privacy, and cataloging principles.
• Familiarity with machine learning workflows and data preparation for predictive analytics.
• Experience with Python or R for data analysis.
• Knowledge of cloud architecture and modern data platforms.
• Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
• Experience in project management and cross-functional collaboration.

Competencies and Skills

• Shows Accountability
• Thinks Systematically and Analytically
• Focuses on Customer Needs
• Learns Continuously
• Plans/Organizes Projects Effectively
• Solves Complex Problems
• Drives Innovation and Process Improvement

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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