Work from Office
Full Time
Employment Type: Full Time Permanent
Qualification: Bachelors or Masters degree in Computer Science, Engineering, or a related field.Design, develop, and maintain scalable and reliable data pipelines using AWS services, PySpark, and Databricks.Collaborate with cross-functional teams to understand data requirements, identify data sources, and define data ingestion strategies.Implement data extraction, transformation, and loading (ETL) processes to enable efficient data integration from various sources.Hands-on experience in developing and optimizing Databricks data pipelines using PySpark.Proficient in SQL, Python, and ETL processesOptimize and tune data pipelines to ensure high performance, scalability, and data quality.Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.Collaborate with data scientists and analysts to provide them with clean, transformed, and reliable data for analysis and modeling.Develop and maintain data documentation, including data lineage, data dictionaries, and metadata management.Level of exp in Databricks: E4Should have worked in different functional perimeters (e.g. finance, HR, Geology, HSE), so that they are open-minded and able to adapt to the HR domain which requires to have a deep understanding of functional need to make good quality developments (otherwise the calculation or the developed rule gives wrong results (e.g. negative headcount of employees, wrong columns used to make calculation, calculation in itself that wouldnt follow the logical HR rule given by the business)Skills:
CGI
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