... rollout, focusing on consumer behavior, data privacy compliance, and high-performance data visualizations. Main Responsibilities: Design, develop, ... autonomously and lead discussions on data requirements and model specifications. Nice- ...
... tools and platforms. Data Pipeline Development : Create, maintain, and optimize data pipelines using SQL, dbt , and ... in dbt and data modeling concepts. Strong Python skills, ... -impact, large-scale data projects. Collaboration with talented professionals ...
... world, and our expertise spans banking and payments, capital markets, wealth, ... , Python, PySpark, SQL, and Hadoop Big Data, experience with Prophecy is a ... is desirable. Preferable knowledge of banking risk data, systems, and risk models. WHY ...
... can take ownership of technical data assets, and support all other ... motivated, multi-cultural team of Data Engineers, DataOps, Data Scientists and Data Analysts spread across Europe. You ... anyway). Proven experience in data analyst role working with large ...
... standards. Troubleshoot and enhance existing data processes as needed. Requirements Strong experience with banking data (mandatory). Proficiency in building data pipelines with Azure Data Factory. Advanced knowledge of SQL ...
... all, analyze data using AI and advanced analytics ... globally to ensure data accessibility, high quality, and structured data in alignment with the Data Mesh concept. As a data engineer, you will focus on building data products toward defined target visions ...
... can take ownership of technical data assets, and support all other ... motivated, multi-cultural team of Data Engineers, DataOps, Data Scientists and Data Analysts spread across Europe. You ... anyway). Proven experience in data analyst role working with large ...
... a highly skilled and experienced Data Engineer Analyst to join our ... in building and maintaining our data infrastructure, performing in-depth analysis ...
... : Experience in the area of Big Data and a willingness to learn ... ETL solutions. Good understanding of Big Data concepts or data warehousing. Proficiency in Python focused on data transformations. Knowledge of Airflow technology ...
... implementing ETL ELT processes and data integration workflows using tools like Apache Airflow, AWS Glue, understanding of big data and DevOps technologies (Kafka, Spark, ...