Wizeline is a global technology services provider that partners with Fortune 500 companies and startups to build high-quality digital products and platforms that accelerate time-to-market. Our diverse and adaptive teams provide the right combination of solutions and methodologies to deliver results while collaborating with our customers' teams to foster innovation through continuous learning. Responsibilities: Design and implement product features in collaboration with product owners, report developers, product analysts, architects, and business partners within an Agile/Scrum methodology. Design and implement data platforms for large-scale, high-performance and scalable requirements, integrating data from several data sources, managing structured and unstructured data while melding existing warehouse structures. Analyze, diagnose and identify bottlenecks in data workflows. Participate in demos to clients as well as requirements elicitation and translation to systems requirements (functional and nonfunctional). Constantly monitor, refine and report on the performance of data management systems. To be successful in this role, you must have: Strong General Programming Skills. Solid experience with Python. If not proficient in Python, we expect the candidate to be proficient in other languages and prove their ability to learn new ones very quickly. Experience with Spark. Experience working with SQL in advanced scenarios that require heavy optimization. 4+ years of experience with large-scale data engineering with emphasis on analytics and reporting. 2+ years of experience developing on Hadoop-like Ecosystem. Experience building cloud scalable, real-time and high-performance Data Lake solutions. Proficiency 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. #J-18808-Ljbffr
