Sustainability-Focused Data Engineer Opportunity

5 days ago

erode, India beBeeData Full time

Job Overview:We are seeking a seasoned Databricks Data Engineer to drive our Sustainability initiative forward. This pivotal role involves building data pipelines and models to support product-level carbon footprint analysis.Key Responsibilities:Develop and optimize ETL/ELT pipelines on Databricks using PySpark and SQL for carbon footprint analytics.Build data models that combine engineering, manufacturing, and supplier data to generate emissions metrics.Integrate and transform data from:Manufacturing Bill of Materials (MBOM) from SAP, including multilevel BOM explosion logic.Engineering Bill of Materials (EBOM) from Oracle-based systems.Supplier environmental data, such as material-level emissions.Factory data, including energy consumption and material usage.Collaborate with sustainability analysts, engineering teams, and supply chain stakeholders to translate carbon calculation logic into data transformations.Ensure high data quality, lineage, and governance using Delta Lake, Unity Catalog, and standard best practices.Leverage AWS services like S3, Glue, and Athena for orchestration and storage.Document data logic and workflows for traceability and compliance with ESG standards.Requirements:Hands-on experience with Databricks (Delta Lake, Unity Catalog, Jobs, Workflows).Strong skills in PySpark and SQL.Experience with SAP MBOM structures, particularly multilevel BOM explosion.Understanding of Oracle-based EBOM systems and ability to integrate structured data.Familiarity with AWS data ecosystem (S3, Glue, Lambda, Athena).Strong knowledge of data modeling, pipeline optimization, and performance tuning.Preferred Qualifications:Experience in carbon accounting, lifecycle analysis, or sustainability-focused data projects.Understanding of manufacturing data and supply chain operations.Exposure to SAP ECC/S/4HANA and Oracle-based PLM or engineering systems.Experience with version control, CI/CD (e.g., Git, Databricks Repos).

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