TRABAJO MICROSOFT DATA PROCESSING

• data engineering certification (azure certified data engineer) is a plus...     your key responsibilities  • design and develop batch and streaming data processing ...

Job summary  the senior data engineer will be responsible of designing, developing, and maintaining data pipelines and solutions to enable our client to harness...

We are looking for  microsoft fabric sr consultant (data engineer) requirements: senior consultant - microsoft data fabric microsoft platform knowledge of azure...

Utilize microsoft azure tools like form recognizer, azure cognitive search (indexer, skillset, and indexes) to streamline data processing and retrieval...

S/he will collaborate within it analytics, data & integration team from basic statistics and patterns to dependencies and custom business rules, designed to give...

data warehousing: understanding of concepts such as data staging, etl, data marts, and star schema... function related activities/key responsibilities: optimizing...

•    data engineering certification (azure certified data engineer) is a plus... your key responsibilities •    design and develop batch and streaming data processing...

Skills: cloud based services; software development; big data; data solutions; data services; data pipelines; data flows; data engineering... data warehousing: understanding...

Efficient in analyzing, communicating, and proposing different ways of building data warehouses, data lakes, end-to-end pipelines, and big data solutions to clients...

The data analytics engineer provides data requirements for data ingestion, transformation, and scheduling to empower insightful business reporting and advanced analytics...

• perform end-toend analysis work that includes data collection from multiple data storage platforms, specification of requirements, data processing tasks, various...

Identify opportunities for data acquisition...   your key responsibilities design and develop batch and streaming data processing build data systems and pipelines...

Hands on expertise in data ingestion, integration and etl architecture, creating data models, contextualization, aggregation, normalizing and processing the data...