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Strong brand, popular data-engineer title, Bangalore metro, and broad Azure/Databricks skillset increase competition.
Requires ETRM (Endur/Nucleus) and trading domain experience, making background transferability low and sensitivity high.
Explicit 8-10 years, Databricks certification, ETRM domain and Azure stack make shortlisting highly strict.
Design and develop scalable, high-performance data engineering solutions supporting energy trading business decisions using Azure and Databricks technologies.
Build and optimize end-to-end data pipelines with technologies including Azure Data Factory, ADLS, PySpark, Python, and SQL, with focus on performance tuning and scalability.
Collaborate with cross-functional teams in Agile settings to implement enterprise data platforms, ensure data governance, and drive continuous improvement initiatives.
8-10 years of proven experience in data engineering with enterprise-scale data solutions delivery.
Bachelor’s degree in Engineering, Computer Science, IT, or MCA.
Strong domain experience in Energy Trading & Supply, particularly with ETRM systems like Endur and Nucleus.
Databricks Certified Associate required; expertise with Azure Data Factory, Azure Data Lake Storage, Azure Databricks, PySpark, Python, SQL, source control and DevOps tools like GitHub and Azure DevOps.
Experienced in Energy Trading domain data engineering, with knowledge of Endur and Nucleus platforms, and ability to translate business requirements into scalable data solutions.
Strong skills in cloud-based Microsoft Azure data services combined with advanced programming and performance tuning capabilities in PySpark and SQL.
Familiarity with Agile delivery, enterprise data platforms including MDM and Data Catalog, and use of AI-powered solutions within Energy sector contexts.