Senior Data Engineer
3 weeks ago
Skill : Azure (Azure Data Factory, Azure Databricks, Data Stage, Airflow), SQL/Python, Rest API) and maintain Data Warehousing/Data Lakes/Data Hubs and analytical reporting environment
RESPONSIBILITIES OF THE ROLE :
- Design, build, and maintain large-scale data systems, including data warehouses, lakes, and pipelines.
- Develop and implement data infrastructure, such as databases, data processing frameworks, and data storage solutions.
- Ensure data quality, integrity, and security, and develop data governance policies and procedures.
- Work with data scientists and analysts to understand data requirements and develop solutions to meet their needs.
- Develop and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources.
- Optimize data systems for performance, scalability, and reliability.
- Collaborate with cross-functional people teams, regional and business leads.
- Stay up-to-date with new technologies and tools in the field of data engineering.
- Develop and maintain documentation and best practices for data engineering.
- Troubleshoot and resolve data system issues and errors.
ROLE EXPECTATIONS :
KNOWLEDGE AND EXPERIENCE :
- Bachelor's degree in computer science, Information Technology, or related field.
- Certified Data Engineer (CDE) or equivalent certifications would be a plus.
- Programming languages : Python, SQL
- Data storage : Relational databases, NoSQL databases, data warehouses
- Data processing : ETL, data pipelines, data streaming
- Cloud platforms : Azure (Azure Data Factory, Azure Databricks, Data Stage, Airflow)
- Agile development methodology
- 5+ years in data engineering, software engineering, or related field
- Experience with large-scale data systems and big data technologies
- Strong understanding of data modeling, data warehousing, and ETL processes
- Strong collaboration and communication skills
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