Data Analytics Engineer - Spark, Data Modelling, Python

Location : Basel, Switzerland Job Category : Information Technology Job Reference : BBBH22676_1741275085 Job Views : 11 Posted : 06.03.2025 Expiry Date : 20.04.2025 Job Description : Data Analytics Engineer – Spark, Hive, Data Modelling, Python. This is a long-term contract opportunity to join our Basel-based client in the Financial Services sector. Your tasks : Develop code for end-to-end data pipelines with optimal extraction, transformation, and loading of data. Translate functional and technical requirements into detailed design. Data architecture and design. Support the business with data-related technical issues and support their data needs. Your experience / knowledge : Experience in building data ingestion pipelines for data warehousing. Experience in developing open-source data technologies such as Hadoop, Hive, Spark, HBase, Kafka, Impala, dbt, ELK, etc., preferably with Cloudera. Strong development in Python. Language skills : English. Your soft skills : Excellent comprehension skills with attention to detail. A high degree of self-organisation and time management. Analytical and solution-oriented thinking. Work setting : Hybrid Sector : Banking Start : ASAP 05 / 2025 Duration : 12 months + Workload : 100% Ref. Nr. : BH 22676 Take the next step and send us your resume along with a daytime phone number where we can reach you. Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens, and current work-permit holders for Switzerland. Ukrainian refugees are warmly welcomed, and we will support you all the way. We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application. As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client. #J-18808-Ljbffr