LAVORO LEAD BIG DATA DEVOPS

Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production)...

Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics... define data requirements, gather and mine large-scale...

Key responsibilities lead the design and execution of data strategies that support business priorities build and refine data models for both structured and unstructured...

Per assunzione diretta in fastweb, siamo alla ricerca di una figura di senior big data architect illa senior big data architect, all'interno del dipartimento di...

Set up and manage ci/cd pipelines for data processing and analysis, including integration with the jrc devops platform... as one of the largest atlassian partners...

At s&p global we transform data into essential intelligence pinpointing risks and opening possibilities... beyond the basics: from retail discounts to referral incentive...

Entrepreneurial mindset, with a curious and innovative approach to data challenges... design and deliver market data solutions liaise with it security, enterprise...

Manage and scale data pipelines from internal and external data sources to support new product launches and ensure high data quality... develop and optimize procedures...

data analysis and visualization skills for spatial and temporal data... good understanding and experience of geospatial data... the senior researcher will support...

Excellent knowledge of algorithms and data structures... familiarity with data governance techniques, technologies and tools... preferred skills: knowledge of...

It, digital et data intitulé du poste ingénieur devops streaming h/f type de contrat cdi date prévue de prise de fonction poste avec management non cadre / non...

Key accountabilities lead key data engineering initiatives including end to end ownership for designing and deploying big data products...

Preferred requirements experience with big data technologies like: hadoop, spark, mongodb, elasticsearch, hive, drill, impala, trino, presto, etc...

Support enterprise clients and employees in adopting and understanding data solutions... lead the sharing, re-use, design for scale stability amongst team members...