Salario medio para Data en México 2024

Develop and maintain scalable data pipelines to support continuous data integration and real-time data processing. Design and implement data models, ensuring data accuracy and consistency. Use Databricks to write and optimize queries, create notebooks, and navigate the data catalog. Experience with ...

Estás buscando un empleo como Data Analyst?. ...

En este rol crucial, diseñarás e implementarás procedimientos y políticas de datos (data governance), colaborando estrechamente con diversos departamentos para recopilar, refinar, organizar, proteger y analizar activos de datos, manteniendo siempre las mejores prácticas del sector. ...

Passionate data engineer with 6-10 years of experience, with a focus on designing and implementing data pipelines  Strong expertise in Snowflake, including data modeling, ETL, and data warehousing  Proficiency in dbt (Data Build Tool) for data transformation and management  Solid SQL ...

Build data systems and pipelines using Data Lake, Data Bricks, Spark and SQL Database environment. We're looking for a tech-savvy Data Engineer who'll be responsible for delivering high quality modern data solutions through collaboration with our team and our customers. However, you have the right t...

IT Business Analyst / Data Scientist specializing in procurement AI projects, you will play a crucial role in developing and implementing advanced data analysis techniques, statistical modeling, and machine learning algorithms. Solid understanding of statistical modeling, data analysis, and explorat...

Experiencia trabajando con tecnologías Big Data como Spark, Hadoop, Hive. ...

With advanced analytics and data modeling skills, you'll create powerful visualizations and extract valuable insights Qualifications Qualifications Experience and technical skills: - Currently in last year of your Bachelor´s degree in Finance, Business Intelligence, Systems Engineering, IT or equiva...

Integrate data from various sources and build robust, multi-functional data assets to support analytics. Collaborate with others to understand data needs, representing key data insights in a meaningful way. Solve our most exciting data integration problems, applying optimal ETL patterns, frameworks,...

Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues. Implement processes to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. PySpark, Apache Spark,...

Previous experience as Senior Developer for Datahub and ETL tools, strong understanding of data warehouse concepts and expertise with SQL queries required for this opportunity. We help our clients maximize the value of their Guidewire investment by managing the support and continuous transformation ...

As a Senior Data Science and Machine Learning Engineer at ALTEN Mexico, you will play a crucial role in developing and implementing advanced data-driven solutions. ALTEN Mexico is seeking a highly skilled and experienced Data Science and Machine Learning Engineer to join our team. You will work clos...

NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technolo...

Responsibilities ●Configure & Manage Data Tracking●Analyze Data●Develop reports, charts, and compelling presentations●Conduct surveys & gather feedback/insights from our community●Work with business leaders to identify opportunities for improvement●Collaborate with team members to collect and analyz...

You will work on ingesting, transforming, and analyzing datasets to support the Dataflow on Google Cloud Platform (GCP). Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, Dataflow, Cloud Build, etc. Experience in working with architects to evaluate and p...

Propose improvements to Domain Data Owner Monitor Master data Quality and Launch Corrective Plans Run periodically Core queries/Campaigns to generate data quality reports, run consistency checks, conduct analysis of reports, plan and take corrective actions to avoid inconsistencies in data, Propose ...

Helping our customers to sell more parts & make things easier with our data and solutions based on our globally leading data standards. The Data Processor will be responsible for working with data to ensure alignment with ACES standards. We are currently seeking 2 positions as Data Processors t...

NTT Data Company, somos todas las personas que la formamos. ...

Data Architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. The Data Architect is responsible for visualizing and designing an organization’s enterprise data man...

AWS with emphasis on data services such as S3, Glue, Lake Formation…. ...

Supervises Immigration Data Clerks including: training new hires, performing audit of client records for accuracy, ensuring deadlines are met, reviewing deliverables from data team and managing completion of reporting requests from client and escalating issues to manager as necessary. Acts as the le...

At PayPal, we’re committed to building an equitable and inclusive global economy.And we can’t do this without our most important asset—you.That’s why we offer benefits to help you thrive in every stage of life.We champion your financial, physical, and mental health by offering valuable benefits and ...

Mexican company that seeks and connects the best IT talent with Latin American and United States companies.We are looking for your talent as.Required Technical Skill Set: Azure Platform with Fabric suite, CPG Domain knowledge.Experience Level Expert (10 Yrs).Experience having Azure platform set up a...

NTT Data Company, somos todas las personas que la formamos. ...

Worked with the business community to ensure that the suite of offered data models and reports satisfy expectations for data latency, performance, and ease of use. Designed and implemented effective practices for the data team including SDLC, data integration, and change control. Created data tools ...