Data Engineer for Large Scale Data Solutions
2 weeks ago
Infraveo is seeking a highly skilled Data Engineer to join our team. As a Senior Data Engineer, you will play a critical role in designing, implementing, and maintaining robust data infrastructure solutions and complex ETL processes that drive our core business operations.
Responsibilities:- Design and Implementation of Scalable Data Solutions: You will be responsible for architecting high-performance data solutions to process millions of rows of data.
- ETL Process Development: Design, implement, and manage ETL pipelines to support data integration and transformation processes.
- Data Modeling and Schema Management: Develop and maintain complex data models and database schemas to support various business needs.
- Tool Integration and Automation: Utilize tools like DBT and Prefect to streamline data workflows and ensure data quality.
- Collaboration and Communication: Work closely with company stakeholders and engineers to understand data requirements, deliver solutions, and collaborate cross-functionally.
To succeed in this role, you should have a strong foundation in SQL, Python programming, and experience with DBT and ETL processes. Additionally, you should be able to document core data processes using industry-standard best practices and optimize database performance to ensure efficient query execution.
Requirements:- Experience: Minimum of 5 years of experience in data engineering or software engineering.
- SQL: Mastery of SQL with a strong ability to write and optimize complex queries and stored procedures.
- Python: Strong programming skills using Python or other object-oriented programming languages.
- DBT: Hands-on experience with DBT for data transformation and modeling.
- ETL Skills: Proven experience in designing and implementing robust ETL processes.
We offer a competitive salary of $120,000 per year, based on your experience and qualifications.
Benefits:- Work Location: Remote
- 5 days working
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