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Job Description: Job Description Details Business Title Technical Architect Years of Experience + 10 years Must have skills 1. Database ( SQL server / Oracle / MySQL / Azure SQL etc) 2. Data Warehouse (one or more of…
Summary of Responsibilities: At American Transmission Company (ATC), data is more than information. It is a strategic asset that helps us operate the electric grid safely, reliably, and efficiently. We're looking…
About Coastal Waste & Recycling At Coastal Waste & Recycling, we're building more than a company, we're building a team. As one of the fastest-growing privately held waste and recycling companies in the…
ABOUT GREYSTAR Greystar is a leading, fully integrated global real estate platform offering expertise in property management, investment management, development, and construction services in institutional-quality…
At U.S. Bancorp India, we’re on a journey to do our best. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bancorp India gives you a…
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable.…
Roles & responsibilities Role Overview: Play a role of Data Architect, designs and manages centralized, end-to-end data architecture solutions. A senior data engineer should be responsible for design and…
What you'll be doing This is a senior role, responsible for leading the design and implementation of a configuration-driven data migration framework on the Azure cloud platform. The data migration framework will be…
Nexaminds is hiring a Senior Data Engineer to design, build, and maintain scalable data pipelines and data models in a Microsoft Azure and Databricks environment, using Python/PySpark and SQL, while troubleshooting, optimizing, and documenting data solutions in an Agile team.
Senior Data Engineer at Nexaminds (Mexico-based, Mexican citizens only) designing, building, and maintaining scalable data pipelines and data models in a Microsoft Azure and Databricks environment, using Python/PySpark and SQL, within a collaborative Agile team.
Principal Data Engineer who designs, builds, and evolves scalable data platforms in a Microsoft Azure and Databricks ecosystem. Day to day involves setting data modeling standards, leading pipeline and integration design, making architectural decisions, and mentoring other data engineers using Python, SQL, and PySpark.
A senior data engineering leadership role: the Principal Data Engineer designs, builds, and evolves scalable enterprise data platforms and pipelines on Microsoft Azure and Databricks, sets data-modeling and engineering standards, and mentors other data engineers. Open only to Mexican citizens currently residing in Mexico.
Lead/senior data engineer role in Utrecht (home-working available) leading a data team and collaborating with consultants and clients to deliver data solutions on the Microsoft Azure platform — Synapse Analytics, Data Lake Storage, Databricks, Data Factory — using T-SQL and Python, with a training and certification budget.
Senior Data Engineer / Databricks Technical Architect designing batch and streaming data pipelines, Lakehouse architectures on Delta Lake, and Medallion data models using Databricks, PySpark, SQL and Azure services, while setting development and data governance standards. Remote/work-from-home options are available.
Senior Data Engineer at NTT DATA (consulting) designing and optimizing scalable data pipelines: distributed processing with Apache Spark on Databricks, MongoDB/NoSQL schema design, and orchestration with Delta Lake, Airflow and Azure Data Factory, applying Git, CI/CD and DevOps in Agile, multicultural teams. Requires 4+ years in data engineering.
Senior Data Engineer building and operating the data platform behind a dynamic pricing and BI system for high-volume retail. Day to day: ingesting ERP/POS/e-commerce sources and modeling Bronze/Silver/Gold layers in Databricks (Delta Lake, Unity Catalog, PySpark/SQL), with Azure Data Factory orchestrating pipelines.
Data Engineer at atmira in Valencia (hybrid) who builds and maintains data ingestion and transformation pipelines: ETL/ELT over structured sources and files in Amazon S3, SQL models and datamarts in Amazon Redshift, using Python, PySpark/Spark, Talend and Power BI within a Scrum team.
Senior Data Engineer designing and operating the Databricks data platform behind a dynamic pricing and BI system for high-volume retail: ingesting ERP/POS/e-commerce sources via Azure Data Factory, building Bronze/Silver/Gold layers, and serving ML feature stores and BI consumers. Core stack: Databricks, PySpark, SQL, Delta Lake, Unity Catalog.
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