Data Engineer

• Build and maintain ETL pipelines for high-volume data environments.
• Move and process large-scale datasets, often involving 50-100+ million records, across platforms.
• Utilize PySpark, Python, SQL, and PL/SQL for data engineering tasks.
• Develop reusable frameworks and solutions to improve efficiency.
• Ensure strong documentation and communication for all projects.
• Engage in proactive problem-solving to address data challenges.

Technical Skills: Proficiency in building and maintaining ETL pipelines, experience within Hadoop environments, and strong coding skills in PySpark, Python, SQL, and PL/SQL.

Experience: Demonstrated experience managing large-scale datasets and working in high-volume data environments.

Preferred Qualifications

• Previous experience within a large financial institution’s Hadoop environment is considered a significant advantage.

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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