software development space requires an experienced Data Engineer to join their team. Your main responsibility designing, developing, and maintaining data warehouses and data lake solutions for clients. Qualifications: experience in data engineering Strong data warehousing and data lake architecture experience Data Vault and SQL experience Big data experience such as Hadoop, Spark, AWS EMR Experience with data streaming technologies KPAs: Design and develop data warehousing and data lake solutions Ensure data accuracy Implement ETL processes
Reference: BIT002853-CdP-1 We are looking for a skilled Data Engineer to join our clients' investment team to to oversee their database architecture, data flow, and data processes. The role involves efficiently managing develop scalable data pipelines and ETL processes to collect, process, and integrate data from various sources sources into a centralized data warehouse or data lake. Implement data models, schemas, and database structures to organize and optimize data storage for efficient data retrieval, writing, and analysis. Collaborate
will center on designing, building, and supporting data integration solutions across diverse internal and and external systems, spanning multiple data types and network applications. Duties & Responsibilities building, and implementing data integration processes Conducting comprehensive data analysis to inform integration
insightful data analysis and innovative solutions. We are seeking a passionate Graduate/Junior Data Analyst manage and monitor data processes, ensure database integrity, and develop custom data models. Key Responsibilities: Responsibilities: Data Analysis : Analyze data from company databases to drive product optimization and business technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation: Create
insightful data analysis and innovative solutions. We are seeking a passionate Graduate/Junior Data Analyst manage and monitor data processes, ensure database integrity, and develop custom data models. Key Responsibilities: Responsibilities: Data Analysis : Analyze data from company databases to drive product optimization and business technologies. Custom Data Models : Develop custom data models to apply to data sets. Automation: Create
dependency management and data access patterns. Modify and extend REST API endpoints for data retrieval and persistence application layers. Strong knowledge of algorithms and data structures. Experience in Finance, Mining, or Payroll exposure to MS Reporting Services, Power BI, and data warehousing. Understanding of general monitoring
Maintain and support applications developed. Capture development requirements from customers. Design
methodologies Good problem-solving skills with a data-driven mindset Self-motivated and energetic individual
methodologies Good problem-solving skills with a data-driven mindset Self-motivated and energetic individual
Excellent analytical abilities to simplify complex data and documents effectively. Apply now For more IT