科技職缺
職缺列表
IN-Sr Associate_Data Engineer – Azure _Data & Analytics _Advisory _Mumbai
Line of Service Advisory Industry/Sector FS X-Sector Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data…
Data Engineer
Remote Data Engineer designing, building, and maintaining scalable ETL/ELT pipelines and data warehouse infrastructure. Works with SQL, Python/Java/Scala, and modern cloud data stack (Snowflake/BigQuery/Redshift/Databricks, Airflow/Prefect) to support analytics, BI, and ML initiatives.
Lead Data Engineer (Poland)
Lead a data engineering team owning the AI self-service portal and microservices, building distributed data pipelines and the company's data platform on Azure and Databricks. Day-to-day work involves Spark/Python/Scala data engineering, T-SQL/RDBMS/NoSQL/DataLake design, and collaborating with product owners and data analysts.
Practice Customer Engineer, Data Analytics, Google Cloud
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud…
Test Manager for a Banking Project
Czym będziesz się zajmować? Responsibilities: Lead and coordinate QA activities across the Agile Release Train and multiple Scrum teams. Plan, execute, document and report functional, non-functional, system,…
Data Engineer - Senior 2
Senior data engineer at Cummins leading the design, development, and maintenance of a cloud-based data and analytics platform. Builds scalable data pipelines, data products, and AI/ML-ready datasets using Spark, Hadoop, SQL, Kafka, and modern ETL/ELT tools across Supply Chain, Finance, and Product domains.
Data Engineer - Senior 1
Senior Data Engineer at Cummins leading design and development of enterprise data pipelines and analytics platforms using Spark, Hadoop, Kafka, cloud data warehouses, and ETL/ELT tools, supporting analytics, AI/ML, and GenAI use cases across Supply Chain, Finance, and other domains.
Data Engineer 9
Data Engineer building and maintaining enterprise data pipelines, ETL/ELT transformations, and curated datasets across Supply Chain, Quality, Finance, and Product Lifecycle domains to power analytics, automation, and GenAI use cases using cloud big-data platforms.
Data Engineer 5
Data Engineer at Cummins building and maintaining enterprise-scale data pipelines, ETL/ELT transformations, and governed data products on cloud and Big Data platforms to support analytics, AI/ML, and GenAI use cases across Supply Chain, Quality, Finance, and Product Lifecycle domains.
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.