We are seeking a highly skilled ETL Tester to join our team. The ideal candidate will have a strong analysis, data mapping, and data modeling for ETL processes. The ETL Tester will be responsible for developing validating SQL scripts, troubleshooting SQL queries and ETL jobs, and ensuring data accuracy and integrity through modeling for ETL processes.
We are seeking a highly skilled ETL Consultant with Testing experience to join our team. The ideal candidate analysis, data mapping, and data modeling for ETL processes. The ETL Tester will be responsible for developing validating SQL scripts, troubleshooting SQL queries and ETL jobs, and ensuring data accuracy and integrity through integration within ETL processes. • Data Modeling: Develop and maintain data models for ETL processes, ensuring Develop, validate, and optimize SQL scripts for ETL processes to ensure data integrity and performance
with innovation at its core is seeking a dynamic ETL developer who can contribute to collecting, analysing and capturing metadata and rules associated with ETL and ELT processes. Responsible for the analysis, Applied Mathematics, Statistics 1-3 years' experience ETL and ELT Power BI SQL AWS or Azure Data Python The
Studio
innovation at its core is seeking a dynamic ETL developer who can contribute to
and capturing metadata and rules associated with ETL and ELT processes.
Scala
- Experience with data technologies such as Hadoop, Spark, and cloud-based platforms
- Knowledge
Knowledge of data modeling, data warehousing, and ETL processes
- Strong problem-solving skills and attention
NoSQL databases, data warehousing solutions, and ETL tools
architectures - Work with various data technologies such as Hadoop, Spark, and cloud-based platforms - Ensure data Scala - Experience with data technologies such as Hadoop, Spark, and cloud-based platforms - Knowledge of of data modeling, data warehousing, and ETL processes - Strong problem-solving skills and attention to
NoSQL databases, data warehousing solutions, and ETL tools Hands-on experience with cloud platforms ( Azure, Google Cloud) and big data technologies (Hadoop, Spark) Knowledge of data management and governance
technical aspects of all data pipelines Support ETL processes including, data ingestion, transformation environments including Unix, Docker, Kubernetes, Hadoop, Kafka, Nifi or Spark or Cloud-based big data processing Analytics Experience of Big Data technologies such as Hadoop, Spark and Hive At least 5 years' advanced experience