Feria Virtual de Empleos de Tecnología México 2023
¡Más de 700 ofertas de trabajo en México!
Visitar feriaData Engineer en Adecco
$ 60,000 a 70,000 MXN (Bruto)
Remoto: México
Empleado de tiempo completo
Nivel de Inglés: Nivel Avanzado
The Data Engineer role will be responsible for expanding and optimizing our data-processing pipelines, as well as supporting our data analysts and data scientists on data-driven initiatives to ensure an optimal data delivery architecture that is consistent throughout ongoing projects. The hire must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Job Requirements:
Key Responsibilities:
● Create and maintain optimal data pipeline architecture.
● Implement solutions for Big Data challenges using Python, Apache Spark, and Apache Airflow.
● Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
● Assemble large, complex data sets that meet functional / non-functional business requirements.
● Implement internal process improvements: automating manual processes, optimizing data delivery, etc.
● Work with business stakeholders to assist with data-related technical issues and support their data infrastructure needs.
● Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Technical Knowledge Requirements:
● 2+ years of developing and maintaining data pipelines
● Extensive programming experience in Python
● Experience with Big Data processing and scalable pipelines
● Experience with SQL database systems.
● Experience with data cleansing, cataloging, and validation
● Process oriented with great documentation skills
● Experience with Apache Airflow is a plus
● Experience with AWS platform with emphasis on Amazon S3, Glue, Athena, EMR, RDS, and Lake Formation
Non-Technical Skills:
● Excellent problem solving, analysis, and documentation skills.
Education/Training:
● Ability to speak, read and write in English
● BS or MS degree in Computer Science or a related technical field.
● 2+ years of experience with Python, SQL, and NoSQL.
● 2+ years of experience with AWS cloud services: EMR, RDS, Glue, Athena, and S3.
● 1+ years of experience with schema design and dimensional data modeling.