The client is a global leader in the energy industry, specializing in subsea and surface technologies. The project involves building and maintaining advanced data architecture on both cloud and on-premise platforms using technologies such as Snowflake, dbt, SQL, SAP BW, and AWS S3.
The client is a global leader in the energy industry, specializing in subsea and surface technologies. The project involves building and maintaining advanced data architecture on both cloud and on-premise platforms using technologies such as Snowflake, dbt, SQL, SAP BW, and AWS S3.
,[Design, implement, and maintain data architecture across cloud and onpremise platforms. , Develop and optimize ETL/ELT pipelines using tools like Informatica, Talend, Attunity, and WebMethods. , Collaborate with data scientists, analysts, and business teams to ensure data availability, usability, and governance. , Define and enforce best practices in data modeling, version control (GitHub), and CI/CD workflows. , Integrate complex data sources from systems like SAP, Oracle, Microsoft BizTalk Server, and REST APIs. , Drive improvements in data quality, metadata management, and lineage tracking using tools such as Alation. , Ensure data security and regulatory compliance in collaboration with information security teams, utilizing tools like Azure Information Protection, OneTrust, and Vanta. , Participate in the evaluation and implementation of emerging data technologies and tools. ] Requirements: Databricks, ETL, Gen AI, AWS, Snowflake