Senior Data Software Engineer - Spark - Databricks| SENIOR

EPAM

1 Puesto disponible
Remoto
Edad 18 años en adelante
Estudios Universidad
Género(No Influyente)Indistinto(no influyente)
Herramientas

Herramientas

Spark

PySpark

Spark SQL

Azure SQL Server

Azure Synapse

Databricks

Google BigQuery

Firebase

Kafka

Stream Analytics

Event Hubs

Azure functions

Microsoft SQL

MySQL

Python

Habilidades

Habilidades

infraestructura de datos

procesamiento de datos

diseños tolerantes a fallas

extracción de entidades

indexación de datos

manejo de datos

análisis de datos

interpretación de datos

Aptitudes

Aptitudes

colaborativo

experto en extracción de datos

analítico

interpretativo

Idioma

Idiomas

Inglés

Prestaciones

Career plan and real growth opportunities

Unlimited access to LinkedIn learning solutions

International Mobility Plan within 25 countries

Constant training, mentoring, online corporate courses, eLearning and more

English classes with a certified teacher

Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)

Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)

Flexible work schedule and dress code

Collaborate in a multicultural environment and share best practices from around the globe

Hired directly by EPAM & 100% under payroll

Law benefits (IMSS, INFONAVIT, 25% vacation bonus)

Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)

13 % employee savings fund, capped to the law limit

Grocery coupons

30 days December bonus

Employee Stock Purchase Plan

12 vacations days plus 4 floating days

Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)

Monthly non-taxable amount for the electricity and internet bills

Datos adicionales

Join EPAM as a Senior Data Software Engineer. In this role, you'll manage and maintain data infrastructure, implement and optimize data processing workflows, and collaborate with cross-functional teams to understand data requirements. If you have a BA/BS Degree in a related field, 6-8 years of related work experience, and a strong working knowledge of Python and PySpark, we'd love to hear from you.
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