CBTW
CBTW is a global company that embraces collaboration to deliver innovative technology and business solutions. With over 3000 professionals worldwide, CBTW specializes in various domains including Strategy & Governance, Software Engineering, Data Analytics, Cyber Security, and Banking Technology. They cater to a diverse range of sectors such as Life Sciences, Manufacturing, and Retail, driving success through tailored solutions for clients ranging from startups to Fortune 500 companies.
Software Engineering • Governance • Strategy • Design • Technology
Stratio Developer
Yesterday
CBTW
CBTW is a global company that embraces collaboration to deliver innovative technology and business solutions. With over 3000 professionals worldwide, CBTW specializes in various domains including Strategy & Governance, Software Engineering, Data Analytics, Cyber Security, and Banking Technology. They cater to a diverse range of sectors such as Life Sciences, Manufacturing, and Retail, driving success through tailored solutions for clients ranging from startups to Fortune 500 companies.
Software Engineering • Governance • Strategy • Design • Technology
📋 Description
• Design, develop, and optimize ETL processes to ensure efficient data flow and transformation. • Optimize SQL queries and database performance to enhance data processing speed and efficiency. • Implement and fine-tune distributed data processing using Apache Spark in a Big Data environment. • Collaborate with data engineers, analysts, and business teams to define data requirements and solutions. • Ensure data integrity, quality, and compliance with best practices. • Troubleshoot performance issues and implement necessary optimizations in data workflows. • Stay up to date with emerging technologies in Big Data, ETL, and distributed processing.
🎯 Requirements
• 3+ years of experience in SQL optimization (query performance tuning, indexing, execution plans). • 3+ years of experience in ETL design, development, and optimization (data extraction, transformation, and loading). • 2+ years of experience in Spark and distributed processing with Big Data technologies. • Experience with Stratio Data Platform and its components is a strong plus. • Proficiency in Scala or Python for Spark development. • Experience with cloud platforms like AWS, Azure, or GCP is a plus. • Familiarity with NoSQL databases and data lake architectures is desirable. • Strong analytical and problem-solving skills. • Ability to work in an agile, fast-paced environment.
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