organization to ensure data accuracy, develop complex ETL processes, create insightful data visualizations
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in the role with a huge focus on building Python, ETL processes and writing superb SQL . In addition, the Tableau etc). Familiarity with common python based ETL tools such as PySpark or Apache Airflow. Familiarity projects. Experience in building or maintaining ETL processes. Experience as a data analyst / BI analyst
extensive exp in data migration, integration, and ETL processes. Exp with SQL, NoSQL data storage, Snowflake
enterprise BI reporting and Extract, Transform, Load (ETL) processes and environments. Required Qualifications: warehouse/data mart design and configuration Use ETL tools to load data store(s)/data warehouse(s)/data
and systems in general, especially in the area of ETL processes.
Reference: NCM001754-NDK-1 The purpose of the ETL Developer is to develop extraction, translation and Warehousing experience. SQL/PLSQL knowledge essential. ETL Tool knowledge (DataStage 8.2 and above). Data Modelling storage solutions like AWS and Azure. Technical ETL expertise in creating star schema data models. Administration Responsibilities Design, development and implementation of ETL pipelines. Debug and correct programs to ensure business
projects and teams.
Expertise in data warehousing, ETL processes, and data visualization tools.
Strong
Cloud).
- Knowledge of data integration and ETL tools.
- Familiarity with Agile and DevOps methodologies
analytics platform Develop BI Solutions using SQL, ETL scripting, Business Intelligence tools, database
Excel