Sr. Data Engineer

• Design and construct brand-new production data pipelines to handle large volumes of distributed data.
• Ensure data integrity across pipeline architectures by implementing advanced quality checks and data lineage tracking.
• Take ownership of individual data domains and deliver reliable data engineering solutions independently.
• Set up robust pipeline monitoring, alerting, and observability dashboards to maintain high system reliability.
• Collaborate with a cross-functional team of engineers and analysts to extend data platforms into new consumer domains.

Education: Bachelor’s degree in Computer Science, Information Systems, or a related technical field is preferred.

Experience: A minimum of 6 years of dedicated data engineering experience, specifically focused on distributed data processing and scalable pipelines.

Technical Skills: Proven proficiency in PySpark, AWS Glue, Snowflake, Databricks, and SQL, alongside solid foundational knowledge of AWS data engineering services, S3-based lakes, and relational databases.

Preferred Qualifications

• Prior experience working within the financial services sector.
• Hands-on experience with low-latency streaming and real-time processing tools such as Kinesis or Kafka.
• Familiarity with CI/CD practices for data pipelines and Infrastructure as Code.

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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