Senior Data Engineer

October 20

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Wizeline

WebsiteLinkedInAll Job Openings

Ux Design • Product/Platform Development • Cloud & DevOps • Data • Artificial Intelligence

1001 - 5000

💰 $43M Series B on 2018-03

Description

• 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. • 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. • Apply now!

Requirements

• 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.