Senior Data Engineer
hace 4 semanas
At Visium, we empower our clients to unleash and scale the power of their data. Our team of experts in strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning helps organizations become future-proof.
Role
As a Senior Data Engineer, you will work with various stakeholders to provide business leaders with valuable insights from large and complex datasets. You will help build robust systems to make this data usable and accessible.
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.
Requirements
We are looking for- 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, andFluent communication both in English
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