Technical skills
PythonSQLData engineeringData analysisBusiness intelligenceData scienceAWSAzureGoogle CloudCloud platforms
Requirements
- Experience: Proven experience as a Data Engineer or similar role with a focus on data pipelines, cloud infrastructure, and reporting.
- Technical
Skills
- Strong understanding of data engineering concepts, tools, and technologies (e.g., SQL, Python, ETL tools, cloud platforms).
- Cloud Platforms: Experience with major cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., data warehouses such as BigQuery/Redshift, data lakes, data pipelines).
- Data Modeling: Proficiency in data modeling techniques (e.g., dimensional, normalized) and data warehouse design.
- Reporting and Visualization: Expertise in using reporting and visualization tools (e.g., Looker, Power BI, Tableau) to create interactive dashboards.
- Problem-Solving: Ability to troubleshoot complex data-related issues and find innovative solutions.
- Communication: Excellent communication skills to collaborate effectively with cross-functional teams.
- Certifications: Preferred certifications (e.g., AWS Certified Data Engineer, Azure Certified Data Engineer, GCP Certified Professional Data Engineer).
Requirements
- Additional Skills (Preferred):
- Experience with data warehousing and data lake technologies (e.g., Google BigQuery, Amazon Redshift, Snowflake, Databricks)
- Knowledge of data analytics and machine learning concepts
- Familiarity with data governance and compliance frameworks (e.g., HIPAA, GDPR, CCPA)