資料工程：12,244 個職缺
瀏覽與 資料工程 相關的開放職缺。
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 Engineer
Build and maintain data pipelines, debug production data platform issues, design data models and schemas, and optimize data collection, storage, access, and analytics on Linux-based platforms.
Senior Data Engineer
Senior Data Engineer building international fintech data products — designing integrations with banking systems, building ETL pipelines into Data Lake/DWH, and developing BI data marts in Superset and PowerBI using PostgreSQL, ClickHouse, Python and Airflow.
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.
Инженер данных/Data Engineer
Designs end-to-end analytical solutions (ETL/ELT, custom BI visualizations, ML models, PWA) for a federal Russian real estate developer, working with 1C, APIs, PostgreSQL, ClickHouse, Python, Apache Airflow, dbt, JavaScript/D3.js, Visiology, and Apache Superset.
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 Engineer/ MLOpsE
This role develops, maintains, and optimizes ETL processes on banking platforms, deploys data-science models into production, and supports their operation. It uses Python, Hadoop, Spark, Airflow, data warehouses/Greenplum, Jenkins/Bitbucket/Git CI/CD, and container orchestration.
Data engineer
Middle Data Engineer building and optimizing ETL pipelines and DWH for a major Russian consumer-lending/microfinance fintech brand. Core stack: Python, PostgreSQL/Greenplum/MSSQL, Apache Airflow, Debezium, ClickHouse, with reporting in SuperSet and PowerBI.
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.
Senior Python ETL Developer
Senior Python engineer designing cloud-native applications and ETL data pipelines on Kubernetes/AWS. Builds RESTful APIs, integrates with services, and ships via CI/CD (GitHub Actions), collaborating with technical and business stakeholders.
Data Engineer
Data engineer building and maintaining data pipelines, designing data models, and developing Snowflake-based solutions with emphasis on performance tuning, security, and governance.
Senior Data Engineer (French Speaker) | BPCE-SI
Senior data engineer designing data integration solutions and Power BI dashboards using PL/SQL for a French banking group (BPCE), maintaining and optimizing ETL pipelines, and evolving data warehouse models in a French-speaking environment.