What You'll Do
Work closely with data scientists and analysts to understand information needs and create efficient data flows. Design, implement, and maintain data pipelines for ingestion, processing, and transformation using cloud services and other technologies. Create and maintain data storage solutions, including Azure SQL Database and Azure Data Lake. Implement data validation and cleaning procedures to ensure quality and integrity.
What We're Looking For
5+ years of experience in data engineering. Proficiency in Python and SQL, with experience in data processing scripting languages. Strong understanding of ETL/ELT processes and data warehousing principles. Experience with Azure services, AWS, or GCP, and familiarity with tools like Data Build Tool (dbt) and Datadog.
What We Offer
Competitive salary package with performance-based recognition and referral bonuses. Opportunities for global professional development, including coaching, training, and certifications. Hybrid work model with flexible hours and employee assistance programs.
Additional Information
Experience Level
Senior
Employment Type
permanent
Work Mode
Hybrid