**The Company**:Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services.
We thrive in solving our customer's challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data).
We help them succeed in building digital capabilities that bring technology to the core of their business.
**Are You a Fit?
**:To be successful in this role, you must have:- Strong SQL.- Data Analysis.- Project Leadership skills.- Strong Programming Skills with Python.- Solid experience with Spark.- Solid engineering foundations (good coding practices, good architectural design skills).- Experience working with SQL in advanced scenarios that require heavy optimization.- 7+ years of experience with large-scale data engineering with an emphasis on analytics and reporting- 3+ years of experience developing on Hadoop-like Ecosystem- Experience building cloud-scalable, real-time and high-performance Data Lake solutions.- Proficiency in designing and implementing ETL (Extract, Transform, load) processes, dealing with big volumes of data (terabytes of data which required distributed processing)- Experience developing solutions within Cloud Services (AWS, GCP, or Azure)- Experience with NoSQL databases such as Apache HBase, MongoDB, or Cassandra.- Experience in data streams processing technologies including Kafka, Spark Streaming, etc- Advanced English level.
**About Us**:Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe.
We believe great technology comes from a mix of talents and perspectives.
Our core values of ownership, innovation, community, and inclusivity are central to our work.
Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills.
We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech.
**Staff Data Engineer**:**LOCATION**:Guadalajara, Mexico**DEPARTMENT**:Data Engineering