Attiva gli avvisi di lavoro via e-mail!
Genera un CV personalizzato in pochi minuti
Ottieni un colloquio e una retribuzione più elevata. Scopri di più
A leading company is looking for a professional to enhance their Data Governance practices across the data lifecycle. The role involves implementing automated policies, managing data security, and coordinating with architecture teams. Ideal candidates will possess a strong education background in relevant fields and expertise in SQL, Python, and data management tools. If you are detail-oriented and interested in optimizing data governance processes, this role offers a great opportunity to make a significant impact.
You will be responsible for scaling, automating, and optimizing HBX data governance policies and processes across the entire data lifecycle.
This role is a key contributor to delivering and executing the Data Governance Roadmap. You will be actively involved in creating the company's data quality foundations by developing and implementing technical solutions related to:
Responsibilities:
Reporting to the Head of Data Governance Office, this role will be responsible for:
Skills:
Education: Degree in Computer & Information Science, Computer Engineering, Mathematics, BI & Data Analytics, Big Data
Experience: Proficiency in Python and SQL, experience with relational databases, data security management, root cause analysis, automation, and working with structured and unstructured datasets
Technical Skills: Snowflake or similar cloud data warehouse, SQL, Python, REST API, ETL tools like Airflow, dbt, data governance platforms like Collibra, visualization tools like Tableau, version control like Git, documentation tools like Confluence
Soft Skills: Excellent communication, project management (Agile, Scrum, Kanban), bilingual proficiency (English & Spanish), strategic thinking, results orientation, data literacy, visualization, and innovation
Day-to-day activities: Managing HBX Data Platform security, user roles, policies; designing automated governance policies and controls; ensuring data security and compliance; managing data lifecycle in accordance with policies.