Data Engineer - Data Engineer IV

• Conduct root cause analysis on data quality issues, pipeline failures, reporting discrepancies, and business anomalies to implement permanent resolutions.
• Build enhancements to existing data pipelines, reports, metrics, and analytics solutions to improve performance, accuracy, and coverage.
• Convert business requirements into technical data solutions, translating stakeholder needs into structured database logic, pipeline changes, report designs, and data model updates.
• Collaborate with business stakeholders to define metrics and key performance indicators, driving the implementation of measurement frameworks that track operational health.
• Create intuitive dashboards, reports, analyses, and datasets to deliver actionable insights to stakeholders at all levels.
• Write advanced database queries for complex data extraction, transformation, analysis, and performance optimization across large-scale datasets.
• Leverage expertise in integration concepts and data warehouse design, including dimensional modeling, to analyze organizational data structures.
• Read, interpret, and troubleshoot orchestration workflows to identify root causes of failures and drive fixes with engineering teams.
• Develop automated scripts and processing workflows to streamline reporting and analytics.
• Utilize cloud infrastructure and automation tools to support and enhance robust data solutions.

Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field.

Experience: Five or more years of experience in data analytics, data engineering, or business intelligence, with a proven track record of conducting root cause analysis, implementing pipeline fixes, and translating business requirements into technical solutions.

Technical Skills: Expert-level proficiency in database query development, including complex joins, window functions, common table expressions, and performance tuning. Hands-on experience with orchestration tools, automated scripting, data warehouse architecture, and cloud services., * Experience building and managing optimized datasets, calculated fields, and parameters within visualization tools.

• Familiarity with data quality frameworks, data validation, and data governance standards.
• Experience with automated workflow management and operational reporting tools.
• Hands-on experience with artificial intelligence, machine learning, or generative AI tools to automate repetitive tasks.
• Familiarity with version control systems and continuous integration/continuous deployment pipelines.
• Experience working within structured project management methodologies.

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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