Flo Mağazacılık ve Pazarlama A.Ş.

QUALIFICATIONS AND JOB DESCRIPTION This is FLO! We always pursue the development that will make all our stakeholders, whose lives we touch, say "My Future is Here". By taking advantage of these development opportunities, we transform FLO into a living space that will nourish our sense of belonging. We do not consider this living space separately from the technological opportunities that are an integral part of our lives. Bachelor’s degree in Computer Engineering, Software Engineering, Computer Science or related IT discipline 4+ years experience big data software development experience of designing, developing, deploying, and maintaining 4+ years of experience on object-oriented scripting languages (Python preferred) Advanced SQL experience working with relational databases Knowledge of public cloud providers such as AWS, GCP, Azure (Azure preferred) Experience with data processing Technologies such as Hadoop, Spark, Airflow or smiliar Experience with stream-processing systems such as Kafka, Spark Stream or similiar Proficiency in UNIX/Linux shell scripting Proficient with one or more NoSQL databases such as ElasticSearch, Solr, MongoDB or similiar Experience with integration of data from multiple data source Create and update documentation when any changes. Knowledge of CI/CD tools such as BitBucket, GitLab, Jenkins. Operating in more than 20 countries in 3 continents our company has FLO, In Street, Nine West, Lumberjack and Reebok store chains as well as Kinetix, Polaris, Butigo, Dockers by Gerli, U.S. Polo ASSN, İnci, Lotto, each of which we sell in our stores, wholesale and online. We serve with over 680 stores and over 14,000 employees. Within the body of FLO Teknoloji Hizmetleri A.Ş, we are looking for an "Senior Big Data Engineer" to be responsible for the following processes, under the Corporate Solutions IT Directorate. Job description Delivering well-designed, efficient implementation of data pipelines for complex ETL requirements Understand business requirements and translate them into technical requirements and technology choices Experience with large scale distributed data processing and understanding of distributed computing principles Create and update documentation when any changes. Location: YTU Teknopark