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hace 2 meses
About Visium Sa
At Visium Sa, we empower enterprise executives to define their AI & Data strategy, execute large-scale transformations, and implement AI across operations, ensuring their organization becomes future-proof.
Our Expertise
We have expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, which enables us to help our clients unleash and scale the power of their data.
Our Mission
We're on a mission to pioneer a bright future and build future-proof and ethical organizations. We're looking for curious, ambitious, doers, good-hearted individuals who build a world we're all in awe of – our Visiumees.
Role Overview
As a Senior Data Engineer, you will work with various stakeholders to provide business leaders with valuable insights from large and complex datasets. Starting from raw data, you will help build robust systems to make this data usable and accessible.
Key Responsibilities
- Assess and understand client's data landscape and assess data quality
- Work closely with business and IT stakeholders to understand business requirements
- Participating in technical sales activities
- Work with high volume of heterogeneous data with distributed systems
- Design, develop, and maintain scalable and efficient data assets, including data pipelines, data lakes, data warehouses, and ETL processes based on well-known data platforms
- Build and manage data infrastructure, including data storage, processing, and access
- Implement data models and schema designs to support data analysis and reporting needs
- Develop and maintain data quality and data governance frameworks
- Create data visualizations and reports to communicate insights to stakeholders
- Stay up to date with state-of-the-art data processing and analysis technologies
- Troubleshoot and debug data-related issues
Requirements
- 3 - 5 years of experience building data assets and pipelines using platforms like Databricks and Snowflake
- Proficient in cloud technologies (Azure, AWS) and related data services
- Skilled in data visualization tools such as Tableau, PowerBI, and Quicksight
- Experienced with distributed data processing frameworks like Spark
- Knowledgeable in designing and maintaining production-level data warehouses and provisioning data lakes
- Familiar with software development principles, proficient in Python, and well-versed in data modeling and ETL design patterns
- Possesses a growth mindset, excels in problem-solving, and
- Fluent communication both in English