High-Performance Data Engineer for Global Investment Firm
hace 2 semanas
Dataart is a global investment firm seeking an experienced Data Engineer to join our team. As a key member of our data solutions group, you will play a critical role in designing, developing, and maintaining high-performance data pipelines and analytics platforms.
About the RoleWe are looking for a highly skilled Data Engineer with expertise in data integration, transformation, and database management. The successful candidate will have a strong understanding of data warehousing concepts and architectures, experience in designing, building, and maintaining data warehouses, as well as proficiency in Python for data processing and automation.
Responsibilities- Design, develop, and maintain scalable data pipelines and ETL processes to support analytics and reporting needs
- Collaborate with data scientists, analysts, and other stakeholders to define data requirements and implement solutions
- Ensure data quality, integrity, and accuracy through efficient data cleansing, transformation, and validation processes
- Monitor and optimize data systems for performance, reliability, and cost efficiency
To be successful in this role, you will need:
- 3+ years of experience as a Data Engineer or in a similar role
- Proficiency in Python for data processing and automation, experience with libraries such as Pandas, Polars, NumPy, and SQLAlchemy
- Strong understanding of data warehousing concepts and architectures, experience in designing, building, and maintaining data warehouses
- Strong proficiency in SQL for data querying, transformation, and optimization
- Experience with data integration tools and ETL processes (e.g., Apache Airflow, Talend, Informatica)
- Familiarity with DBT (Data Build Tool) for transforming data in the warehouse, knowledge of DBT Cloud and its integration with various data warehouses
- Skill in using Microsoft Fabric for data integration and orchestration
- Experience with reporting and analytics platforms (e.g., Power BI, Looker)
- Familiarity with cloud platforms such as AWS, Azure, or GCP and their data services (e.g., S3, Redshift, Azure Data Factory, BigQuery)
- Knowledge of data security practices and regulatory standards such as GDPR or CCPA
- Strong analytical skills with attention to detail, able to troubleshoot data issues efficiently
- Excellent collaboration and communication skills for cross-functional teamwork
The estimated salary range for this position is $120,000 - $180,000 per year, depending on experience.
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