Mid-Senior Data Engineer (Databricks, Spark, and more!)

Job Description Join a thriving analytics consultancy that's redefining how businesses harness data for success. They specialize in empowering organizations with cutting-edge analytics and business intelligence solutions, enabling informed decisions and operational excellence.

As part of this dynamic team, they currently seeking Mid-Senior Data Engineers who are experts in Databricks, proficient in Spark, and skilled in Airflow for orchestration. Experience with any major public cloud platform (AWS, Azure, GCP) is essential. You'll collaborate with industry experts to deliver personalized strategies and scalable solutions. From optimizing processes to uncovering valuable insights, you'll help shape impactful data-driven initiatives that drive growth and innovation.

If you're passionate about making a difference in a fast-paced, supportive environment, this is your chance to contribute to the future of analytics with a company committed to your professional development and success. Required Skills & Experience

• 3+ Years of Experience (Mid-Level)
• 5+ Years of Experience (Senior Level) in Data Engineering
• Proficiency in Python
• Expertise in Databricks
• Experience with major Public Cloud Platforms (AWS, Azure, GCP)
• Skilled in Airflow for orchestration
• Strong understanding of data structures, algorithms, and statistical concepts
• Proven ability to work with SQL databases and write complex queries
• B.S. Degree in Computer Science or a related field

Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.

#LI-GF1