20 publicaciones de empleo destacadas en engineer (databricks) (¡Están contratando!)

Sr. Solutions Engineer
Databricks —City, Hgo.
- Microsoft Excel
- Azure
- Informática
AI Engineer
BBVA —Miguel Hidalgo, CDMX
- Trabajo híbrido
- Ingeniería
- Maestría
- Recepción
4d
AI Engineer
SDG Group —Ciudad de México, CDMX
- Español
- Azure
- Doctorado
Postulación rápida
MLOps Engineer
TERATIC —Guadalajara, Jal.
- $48,000 a $55,000 por mes
- Correo electrónico
- Trabajo híbrido
- Python
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Games Automation Engineer
Lionbridge —Ciudad de México, CDMX
- Informática
- SQL
- C++
Azure Data Engineer
Tata Consultancy Services —Guadalajara, Jal.
- Azure
- SQL
- Licenciatura
Oliver Wyman - ML Engineer - Generative AI & Unstructured Data - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Azure
- Administración de personal
- Experiencia en bases de datos
ABL - Data Engineer (Ingeniero de Datos)
Capgemini —City, Hgo.
- Azure
- Experiencia en bases de datos
- SQL
6d
Data Engineer - remoto - 2727
Xideral —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
Postulación rápida
4d
Data Engineer
Bosch Group —Ciudad Juárez, Chih.
- Tiempo completo
- Azure
- Administración de personal
- Inglés
Postulación rápida
6d
Data Engineer Sr
Accenture —Mérida, Yuc.
- Tiempo completo
- Azure
- Inglés
- Python
Engineering and Quality - Lead Data Engineer
Fitch Group —Monterrey, N. L.
- Administración de personal
- DevOps
- SQL
- Permiso de maternidad y paternidad
Apache Data Engineer
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- Azure
- Informática
- Ingeniería
Consultor de Ingeniero de Datos Remoto
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- Oracle
Postulación rápida
Senior Data Engineer - AI & ML Enablement
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Data Engineer Specialist (Queretaro)
PPG —Querétaro, Qro.
- Tiempo completo
- SQL
- Mejora continua
- Presencial
- Seguro de vida
Postulación rápida
Data Engineer (AWS)
TERATIC —Guadalajara, Jal.
- $40,000 a $45,000 por mes
- Correo electrónico
- Trabajo híbrido
- Inglés
- Java
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Data Scientist
Clarios —San Pedro Garza García, N. L.
- Tiempo completo
- Azure
- Informática
- Maestría
11d
Machine Learning Engineer
Harman International —Querétaro, Qro.
- Azure
- Informática
- Inglés
- Descuento de empleados
Lead Data Software Engineer (Python, Azure, Databricks)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- Python
- Plan de adquisición de acciones empresariales

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Sr. Solutions Engineer

Databricks -
City, Hgo.

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Información del empleo

Cualificaciones

Microsoft Excel
Azure
Informática
Big data
Spark
Google Cloud Platform
Java
Experiencia en bases de datos
SQL
Pandas
JavaScript
Scala
Apache
Kafka
Python
Preventa
Debugging
Hadoop

Descripción completa del empleo

FEQ427R3

As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions that express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams, with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customers' needs and build valuable customer engagements, and report to the Field Engineering Manager.

The impact you will have:

You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.

Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.

You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.

Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.

Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

3+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:

Big data engineering (Ex: Spark, Hadoop, Kafka)

Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)

Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)

Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)

Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.

Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.

Fluent in SQL and database technology.

Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.

[Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP

[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

Travel to customers in your region up to 30% of the time.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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