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Tier-1 brand and Bangalore metro increase applicant density despite niche energy trading specialization.
Strong Energy Trading (Endur/Nucleus) domain expertise requirement reduces cross-industry transferability.
Mandatory 8-10 years, Databricks certification, and domain-specific ETRM experience make filters stringent.
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Design, develop, and maintain scalable, high-performance data engineering solutions to support decision-making and generate measurable business value.
Build and optimize end-to-end data pipelines primarily using Azure Data Factory, Azure Data Lake Storage, Databricks, PySpark, Python, and SQL specifically for Energy Trading & Supply business.
Drive continuous improvement by optimizing data products, processes, platform performance, and support enterprise data platforms including Master Data Management and Data Catalog solutions.
Bachelor's degree in Engineering, Computer Science, Information Technology, or MCA.
8-10 years of proven experience in Data Engineering delivering enterprise-scale solutions.
Strong domain expertise in Trading & Supply, including familiarity with ETRM systems such as Endur and Nucleus.
Databricks Certified Associate certification mandatory; proficient in Microsoft Azure technologies (ADF, ADLS, Databricks), PySpark, Python, Advanced SQL, data modeling, and DevOps tools (GitHub, Azure DevOps).
Experienced senior data engineer familiar with Energy Trading & Supply business domain and its data requirements, capable of translating business needs into scalable data solutions.
Proficient in optimizing and performance-tuning large data processing workloads using PySpark and SQL within cloud-based Azure environments.
Comfortable working in Agile teams with strong governance and data engineering best practices adherence, contributing to innovation including AI and emerging cloud analytics technologies.