Data Insights Expert
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 data analytics solutions.
Key Responsibilities
- Design and develop efficient data pipelines using Snowflake, Python, and DBT.
- Implement data extraction, transformation, and loading (ETL) solutions to meet business needs.
- Ensure data pipeline performance, scalability, and reliability.
- Identify and resolve performance-related issues with data 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 diverse range of clients across various industries, including finance, insurance, construction, media, and services. Our consultants work on a variety of projects, from small-scale data analytics solutions to large-scale data warehousing initiatives.
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 allowance.
- A state-of-the-art laptop and remote work equipment.
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