Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
Retrieve, prepare, and process a rich data variety of data sources.
Apply data quality, cleaning and semantic inference techniques to maintain high data quality.
Explore data sources to better understand the availability and quality/integrity of data.
Gain fluency in AI/ML techniques.
Qualifications.
Experience with relational database systems with expertise in SQL.
Experience in data management, data warehousing or unstructured data environments.
Experience with data integration or ETL management tools such as Talend, Apache Airflow, AWS Glue, Google Data Flow or similar.
Experience programming in Python, Java or other equivalent is a plus.
Experience with Business Intelligence tools and platforms is a plus, e.g. Tableau, Qlik View, Google Data Studio, Google Analytics or similar.
Experience with Agile methodology and Extreme Programming is a plus.
Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
Good communication in English.
Job skills required: English, Data Warehousing, SQL, ETL
Job skills preferred: Apache, Java, Python
We regret to inform you that this job opportunity is no longer available