Data Engineer

Design and develop scalable data ingestion and transformation pipelines.

• Build and maintain curated datasets for analytics and reporting.
• Integrate structured and unstructured data from enterprise systems.
• Optimize Databricks workloads, data models, and query performance.
• Implement data quality, validation, and monitoring processes.
• Support analytics and AI initiatives through reliable data engineering practices.
• Collaborate with analysts, architects, and business stakeholders.

The ideal candidate is a hands-on engineer with strong Databricks, SQL, Python, PySpark, and AWS experience who can contribute across architecture, development, and operational support activities., 8+ years of Data Engineering experience.

• Strong Databricks experience, including Delta Lake, Workflows, and Databricks SQL.
• Advanced SQL, Python, and PySpark skills.
• Experience building enterprise-scale ETL/ELT solutions.
• AWS cloud platform experience.
• Strong understanding of data modeling and lakehouse architectures.
• Experience with GitHub, Jira, and Agile delivery practices.

Preferred Skills

Experience with vector databases, graph databases, or NoSQL technologies.

• Exposure to AI/ML solutions, RAG architectures, or LLM-related data platforms.
• Experience with Terraform, Jenkins, Splunk, or Dynatrace.

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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