Senior Data Scientist
2 days ago
Job Title: Senior Data Engineer - Data Warehouse Expert
\- Develop and maintain scalable data pipelines to extract, transform, and load data from various sources into data warehouses or lakes.
- Expertise in Amazon Quicksight for data visualization and analytics. Utilize AWS services such as S3, EC2, EMR, Redshift, and Glue to design and manage robust data architectures.
- Data quality standards are implemented, ensuring data accuracy with other requirements.
- Closely collaborate with data scientists, analysts, product managers, and IT teams to understand data needs and provide tailored data structures.
- Strong analytical and problem-solving skills are used to translate business requirements into technical solutions, ensuring data-driven decision-making across the organization.
- Technical Knowledge: 3+ years of experience in data engineering, focusing on designing dashboards with Amazon Quicksight.
- Advanced knowledge of Python and Linux shell scripting.
- Proficiency in SQL/NoSQL databases (e.g., SQL, Postgres, Oracle).
- Strong understanding of data warehousing concepts, ETL tools, and data modeling.
- Good to have exposure to PowerBI/Tableau for different business personas.
- Good to have an experience with AWS services (e.g., S3, EC2, EMR, Redshift, Glue).
- Excellent written and verbal communication skills, with the ability to work effectively with cross-functional teams.
- Strong business acumen and ability to work in a fast-paced, dynamic environment.
- Masters Degree: Masters degree in Computer Science, Engineering, Analytics, Mathematics, Statistics, IT, or a related field.
- Additional Experience: Experience with business intelligence and visualization software, and working with technical and non-technical internal customers to drive analytics and reporting.
- Certifications: AWS Certified Data Engineer - Associate or similar certifications are a plus.
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