
Scalable Data Architecture Specialist
7 days ago
As an Associate Data Architect at Data Pilot, you will have the opportunity to work on cutting-edge data engineering and analytics projects that drive business growth and success. Our team is passionate about harnessing the power of data to deliver exceptional results and drive business outcomes.
We are looking for talented individuals who share our passion for data-driven innovation and are eager to take on new challenges. If you are a skilled data engineer, analyst, or scientist looking to join a dynamic team that values collaboration and innovation, then we want to hear from you
Key Responsibilities:
- Develop end-to-end data architectures for various data engineering and analytics projects, incorporating principles of medallion and lakehouse models to support real-time and batch analytics.
- Construct scalable data pipelines using ETL tools, Python scripting, and SQL to extract data from disparate sources, transform it to meet business needs, and load it into a centralized data warehouse, ensuring data quality and accessibility.
- Leverage cloud computing platforms (AWS, GCP, Azure) to build secure, efficient, and scalable data infrastructures that support complex data analysis and reporting.
- Apply in-depth knowledge of data warehouse concepts to design and optimize data storage solutions that support advanced data analytics and reporting.
- Collaborate with the data science team to facilitate the development and deployment of machine learning models, providing technical expertise to guide project approaches and outcomes.
Qualifications:
- Minimum Bachelor's degree in computer science or a related field.
- 4-5 years of experience in data engineering, analytics, and data science, with a significant focus on data architecture and pipeline development.
- 2-3 years of hands-on experience with at least two major cloud platforms (AWS, GCP, Azure) and a solution architect certification in one of these platforms.
- Deep understanding of data warehouse concepts and experience in designing data warehousing solutions.
- Proficiency in ETL tools, Python scripting, and SQL.
- Knowledge of Spark and Databricks is highly desirable.
- Experience in building and deploying machine learning models is highly desirable.
- Strong analytical and problem-solving skills and the ability to work collaboratively with cross-functional teams.
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