aKUBE
51 - 200 employees
🎯 Recruiter
☁️ SaaS
Recruitment • IT Services • SaaS
aKUBE is a recruitment firm that specializes in connecting top-tier IT professionals with innovative companies. They emphasize a quality-focused approach to recruiting, ensuring a perfect match between candidates and company values. By leveraging advanced technology and a refined process, aKUBE streamlines staffing solutions that align with client timelines while offering services like contract staffing, direct hire placements, and payroll management. Their commitment to performance and client partnerships positions aKUBE as a trusted partner in achieving business success through tailored staffing solutions.
Senior Data Engineer – Data Foundations, Databricks, AWS
🕒 May 1
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aKUBE
51 - 200 employees
🎯 Recruiter
☁️ SaaS
Recruitment • IT Services • SaaS
aKUBE is a recruitment firm that specializes in connecting top-tier IT professionals with innovative companies. They emphasize a quality-focused approach to recruiting, ensuring a perfect match between candidates and company values. By leveraging advanced technology and a refined process, aKUBE streamlines staffing solutions that align with client timelines while offering services like contract staffing, direct hire placements, and payroll management. Their commitment to performance and client partnerships positions aKUBE as a trusted partner in achieving business success through tailored staffing solutions.
📋 Description
• Design and build scalable data pipelines for large datasets • Develop batch and real-time data processing solutions • Work with Databricks, Snowflake, and Redshift for data platforms • Optimize SQL queries and improve data performance • Build and maintain workflows using Airflow or DBT • Ensure data quality, reliability, and governance • Partner with data scientists to deploy ML models • Collaborate with teams to translate business needs into data solutions
🎯 Requirements
• 7+ years of data engineering experience • Strong experience with AWS data services • Hands-on coding in Python and SQL • Experience with distributed data systems and big data tools • Experience building enterprise-scale data platforms
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