Data Engineer - Databricks & Azure

Roles & Responsibilities

• Design, implement, and optimize analytics platforms
• Enhance self-service BI capabilities for data query and analysis
• Improve BI architecture, focusing on data security, quality, scalability, and extensibility
• Deploy big data technologies to create low-latency data architectures at scale
• Collaborate with business analysts, data scientists, product managers, and engineers
• Develop and validate KPIs, statistical models, machine learning algorithms

Educational Qualifications & Skills

• 4+ years of relevant experience
• Strong SQL skills writing and optimizing complex queries
• Experience in data modeling, ETL design, and large databases
• Proficiency with Linux command line & system administration
• Experience with programming languages: Python, Java, Scala
• Expertise in Big Data technologies: Hive, Spark
• Experience working with cloud platforms (AWS, GCP, Azure)
• Ability to manage data lakes or data warehouses
• Excellent verbal and written communication skills
• Strong problem-solving and innovation mindset

Preferred (Good to Have):

• AWS/GCP/Azure Data Engineer Certification
• Experience in data mining, profiling, and analysis