科技職缺
職缺列表
Data Engineer 12
Data Engineer at Cummins building enterprise data products, pipelines, and curated datasets that support analytics, automation, and GenAI use cases across Supply Chain, Quality, Finance, and Product Lifecycle using Spark, Kafka, cloud platforms, SQL, and modern ETL/ELT tooling.
Data Engineer - Senior 6
Senior data engineer at Cummins designing and operating large-scale cloud data pipelines, data lakes, and ETL/ELT solutions using Spark, Scala/Java, Hive, HBase, Kafka, SQL, and NoSQL stores to deliver AI/ML- and analytics-ready data products across enterprise domains.
Data Engineer - Senior 4
Designs, builds, and optimizes reusable, governed enterprise data pipelines and cloud platforms for analytics, reporting, APIs, automation, and GenAI. The role spans SQL, Spark, Scala/Java, Kafka, Hadoop, ETL/ELT, data modeling, quality, lineage, and scalable data architecture.
Data Engineer 7
Cummins is hiring a Data Engineer in Pune to build and maintain enterprise data products—pipelines, transformations, and curated datasets—for Supply Chain, Quality, Finance, and GenAI use cases, using Spark, Scala/Java, Hadoop, Kafka, SQL, and cloud-based platforms in an Agile environment.
Data Engineer - Senior 3
Senior Data Engineer at Cummins leading design of cloud-based data and analytics platforms. Builds scalable ETL/ELT pipelines, data lakes, and AI-ready data products for analytics, reporting, and GenAI use cases using Spark, Scala/Java, Kafka, Hadoop ecosystem, and SQL.
Data Governance Data Business Analyst
This hybrid Data Governance Data Business Analyst improves Ford Credit’s governance and metadata capabilities on GCP, using AI, SQL, BigQuery, Dataplex, Power BI, and Excel to support discovery, privacy classifications, access controls, compliance, and audits.
Data Engineer
Data Engineer at Numentica working remotely from Saidapet (Chennai, India) to automate data engineering workflows, build data infrastructure, design ETL pipelines, implement data governance and testing, and deploy cloud data solutions.
Data Architect, AI and Data Practice
Data architect role at a consulting firm, designing data warehouse/lakehouse solutions and Power BI semantic models, developing ELT pipelines, implementing governance with Microsoft Purview, and supporting AI-agent-ready semantic layers in Microsoft Fabric.
Senior Technical Consultant - Data Architect
Senior Technical Consultant / Data Architect at CACI Ltd advising on AI/ML and advanced analytics, designing Databricks Lakehouse and Snowflake environments, and leading cloud data platform migrations for enterprise clients.
Data Engineer
The Data Engineer designs, builds, and operates scalable data pipelines and platforms using Python, SQL, and Azure/Microsoft Fabric, collaborating with cross-functional teams to deliver trusted data assets across ingestion, transformation, storage, and access layers.
Account Executive [Healthcare | Master Data Management Sales]
ABOUT VERATO As digital transformation and AI progress at lightning speed, organizations find themselves data-rich and insights-poor. Digital transformation’s promise to drive better experiences and business…
Senior Data Engineer (Databricks Migration)
Migrates a large-scale retail analytics platform from BigQuery to a Databricks Lakehouse, designing scalable Spark/PySpark pipelines, Delta Lake medallion layers, and Unity Catalog governance for an AI-driven pricing optimization company.
Mgr, RTR GL Master Data and Support SCDMNT
We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 markets, who work together to make, move and sell some of the world’s most loved drinks. We are a global…
Data/Machine Learning Architect
Senior architect designing and delivering enterprise-scale data and machine learning platforms on Microsoft Azure for a greenfield digital banking initiative, owning end-to-end architecture, MLOps, data governance, and scalable ML pipelines.
Разработчик BI/ DWH/ Аналитик (fullstack)
Fullstack BI/DWH developer-analyst designing and implementing enterprise analytics systems and dashboards, integrating data sources (SQL, Oracle, SAP, APIs, Excel), building ETL processes and data models, and engaging with business stakeholders across finance, sales, logistics, and manufacturing.