Data Analytics Specialist
il y a 1 semaine
About the Role
We are seeking a highly skilled Data Analytics Engineer to join our team at dcube. As a Data Analytics Engineer, you will be responsible for designing, developing, and maintaining robust and scalable analytical solutions.
Key Responsibilities
- Design and develop efficient data pipelines using Snowflake, Python, and DBT.
- Implement ETL solutions for data extraction, transformation, and loading.
- Ensure the performance, scalability, and reliability of data pipelines.
- Identify and resolve performance-related issues with queries.
- Propose continuous improvements based on industry best practices.
Requirements
- At least 5 years of experience in designing and implementing ETL pipelines.
- Proficiency in Snowflake for data warehousing and optimization.
- Experience with Python for scripting and automation, and DBT for data modeling and orchestration.
- Strong understanding of relational databases and data modeling concepts.
- Ability to work independently and collaboratively as part of a team.
About dcube
As a consultant at dcube, you will have the opportunity to work with a variety of clients across different industries, including finance, insurance, construction, media, and services. Our consultants work on a range of projects, from small-scale data analysis to large-scale data integration.
What We Offer
- A competitive salary starting at 50k.
- A flexible and hybrid remote work arrangement (3 days/week).
- Ongoing career development and training through dcube Learning and certifications.
- A comprehensive benefits package, including a reactive and generous health insurance plan and a meal ticket card.
- A state-of-the-art laptop and remote work equipment.
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