Analytics Engineer

Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative.

Requirements

• Designing and implementing data integration workflows using ETL tools such Informatica, Talend, or Microsoft SQL Server Integration Services (SSIS);
• Transforming data to meet the requirements of the target system or data warehouse;
• Loading transformed data into a data warehouse or other storage systems for reporting and analysis purposes;
• Collaborating with Data Analysts to ensure that data integration solutions support the organization's reporting and analysis needs;
• Monitoring and optimizing data integration processes to ensure that data is loaded efficiently and accurately.
• Know-how in working on development using languages as SQL, PL/SQL, and TSQL, among others;
• Knowledge of SAP DataSPhere;
• Knowledge of Databases such as Oracle, Teradata, Microsoft SQL Server, among others;
• Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake);
• Familiarity with ETL (Extract, Transform, Load) processes and tools (e.g., Talend, Oracle ODI, Informatica Power Center, and DataStage);
• Understanding of statistical analysis and data modeling techniques (e.g. Star Schema, Data Vault);
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their data services.