Databricks Data Engineer – Carbon Footprint Analyst

1 week ago

madurai, India beBeeData Full time

Role OverviewWe are seeking a Databricks Data Engineer to support our enterprise-wide Sustainability initiative.The engineer will be responsible for building data pipelines and models to support product-level carbon footprint analysis.This role involves integrating structured engineering, manufacturing, and supplier data into a unified model using Databricks on AWS.Key Responsibilities:Data Pipeline DevelopmentDevelop and optimize ETL/ELT pipelines on Databricks using PySpark and SQL to support carbon footprint analytics.Data ModelingBuild data models that combine engineering (EBOM), manufacturing (MBOM), supplier, and factory operations data to generate emissions metrics.Data IntegrationIntegrate and transform data from SAP MBOM structures, Oracle-based EBOM systems, supplier environmental data, and factory data.Collaboration and DocumentationCollaborate with sustainability analysts, engineering teams, and supply chain stakeholders to translate carbon calculation logic into data transformations.Document data logic and workflows for traceability and compliance with ESG standards.Data Quality and GovernanceEnsure high data quality, lineage, and governance using Delta Lake, Unity Catalog, and standard best practices.AWS Services UtilizationLeverage AWS services such as S3, Glue, and Athena for orchestration and storage.BonusWe will provide documentation of the data logic and workflows.Our team requires high-quality engineers with skills in data processing and integration. If you are one who can solve complex problems, work well under pressure and collaborate effectively in a team, then this might be the right fit for youSkill Requirements: Proficiency in Databricks, Apache Spark, SQL, data modeling, and data integration; Strong understanding of cloud computing, AWS services, and containerization; Experience with collaborative tools and version control; Excellent problem-solving skills and ability to learn quickly.

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