Staff Data Engineer (Spark and Databricks Advanced) 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). To be successful in this role, you must have: 10+ years of experience with large-scale data engineering with an emphasis on analytics and reporting. Spark and Databricks Advanced. SQL. Data Analysis. Project Leadership skills. Strong Programming Skills with Python. Solid experience with Spark. Airflow. Experience working with SQL in advanced scenarios that require heavy optimization. 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. 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. Apply now! Please note that by submitting your application, you agree with the terms and conditions of our Privacy Policy. #J-18808-Ljbffr