Data Analytics Specialist
5 days ago
Vantix Systems Inc is seeking a highly skilled Data Analytics Specialist to join our team. As a key member of our data analytics team, you will be responsible for designing, implementing, and maintaining robust ETL pipelines to support our business operations.
Key Responsibilities- Design and develop high-performance, scalable, and robust ETL pipelines in distributed clusters
- Create Microsoft-SQL database solutions to support business intelligence and data analytics
- Develop data science, data engineering, and AI projects to drive business insights and decision-making
- Integrate DevOps practices into the development workflow using CI/CD best practices
- Design and implement data security, data privacy, and data de-identification/anonymization policies
- Develop analytical and problem-solving skills to plan and design creative solutions
- Work with dimensional modeling techniques to optimize data storage and retrieval
- Develop Python applications to support data analytics and business intelligence
- Collaborate with cross-functional teams to drive business outcomes and improve data-driven decision-making
- 5 years of direct, hands-on experience with design and implementation of data security, data privacy, policies, data de-identification/anonymization, data audits/reviews, synthetic data
- 5 years of experience in Agile project methodology
- 4 years of experience in building analytical and quantitative analysis models
- 5 years of experience in understanding complex business questions and framing the right analytical question to solve a business problem
- 5 years of experience using Hadoop, Microsoft SQL, and unstructured data
- 4 years of experience with projects spanning multiple technical environments
Vantix Systems Inc offers a competitive hourly rate and a dynamic work environment that fosters collaboration, innovation, and growth. If you are a motivated and experienced data analytics professional looking for a new challenge, we encourage you to apply for this exciting opportunity.
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