Esta oferta de trabajo no está disponible en tu país.
Data Engineering Engineer V
TakedaCiudad de México, Ciudad de México, MexicoHace 11 días
Descripción del trabajoExpert in designing and maintaining scalable data architectures, capable of handling complex data systems Proficient in SQL and other data manipulation languages, with a strong ability to optimize and troubleshoot queries Skilled in DevOps practices and continuous integration to enhance workflow efficiencies Experienced in software development methodologies, contributing to both project and operational goals Knowledgeable in data structures and algorithms, enhancing data processing and storage solutions Familiar with distributed data technologies like Spark and Hadoop, capable of managing large-scale data operations Efficient in system integration, ensuring seamless data flow and connectivity across platforms Proficient in programming languages such as Python, Scala, Java, and C++, applying them effectively in data engineering tasks Experienced in SQL database management, performance tuning, and complex query handling Skilled in cloud platform deployment and tools like Kubernetes, optimizing cloud-based data solutions Capable of performing advanced troubleshooting and guiding others through complex problem-solving processes Advanced in PL / SQL and MongoDB, providing guidance and advice on complex database programming and optimization
About the role
The Data Engineering Engineer V collaborates with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions. This role focuses on integrating and managing data to generate insights, enabling advanced data-driven decision-making capabilities.
Responsibilities
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
- Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various data tools in the Big Data Environment
- Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
- Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity
- Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
- Mentor and coach other data and analytic professionals on data standards and practices
Qualifications
Locations : MEX - Santa Fe
Worker Type : Employee
Worker Sub-Type : Regular
Time Type : Full time
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Pharmaceutical Manufacturing
#J-18808-Ljbffr
Crear una alerta de empleo para esta búsqueda
Data Engineer • Ciudad de México, Ciudad de México, Mexico