EMPREGO REFERENCE DATA FRENCH

* conduct regular data cleansing and validation activities to ensure data accuracy and integrity... * detail-oriented with a focus on data accuracy and compliance...

But data and technology is only half of the package...  we provide the richest and most trusted sports data available and are at the forefront of the latest advancements...

What you can expect are you passionate about customer service and also have experience in pricing? we are looking for our new customer service data & price update...

Today, your team is onboarding newcomers, but also welcoming french colleagues: the perfect excuse to walk downtown and bond over a  francesinha...

You have an excellent level of french and are able to lead full business conversations you are curious, ambitious, and drawn to the startup environment...

Empowered by our motto, " making data matter...

• proficiency in modern data modeling techniques and data administration... • ensure data quality, security, and governance across all data processes...

Enhancing the efficiency and reliability of data sourcing activities, ensuring high-quality data is available for decision-making and reporting...

Your expertise will be pivotal in developing dynamic elt/etl data pipelines to efficiently load data into our data lakes and warehouses, applying sophisticated business...

• experience building and optimizing ‘big data’ data pipelines, architectures, and data sets... • build processes supporting data transformation, data structures...

Skills: data analysis data modeling data warehousing sql what you can expect from us: together, as owners, let’s turn meaningful insights into action... com/us/en-us/careers/our-benefits...

data quality and governance: support data quality initiatives by performing data validation, cleaning, and ensuring adherence to data governance policies...

The dgu data arch...   what you will do: the data architect will be responsible for developing and implementing the company's data architecture, ensuring that data...

• establish data architecture design patterns and best practices... data lake/raw, sand box, curated/cleansed layer, analytics/integrated layer, etc...