
Senior Data Pipeline Developer
8 hours ago
Job Description:
We are seeking a highly skilled Data Engineer to join our team.
The successful candidate will be responsible for designing, developing, and maintaining data pipelines and ETL processes using AWS services (Glue, Athena, S3, RDS).
The ideal candidate will have at least 3 years of experience in data engineering or a similar role, with strong proficiency in Python, VQL, SQL, and experience with AWS services.
Key Responsibilities:
- Design, develop, and maintain data pipelines and ETL processes
- Work with data virtualisation tools like Denodo and develop VQL queries
- Ingest and process data from various internal and external data sources
- Perform data extraction, cleaning, transformation, and loading operations
- Implement automated data collection processes including API integrations when necessary
Additional Responsibilities:
- Collaborating with cross-functional teams on data engineering initiatives
- Partnering with Product Managers, Business Analysts, Data Analysts, Solution Architects, UX Designers to build scalable, data-driven products
- Providing technical guidance and support for data-related queries
Requirements:
- At least 3 years of experience in data engineering or a similar role
- Strong proficiency in Python, VQL, SQL
- Experience with AWS services (Glue, Athena, S3, RDS, Sagemaker)
- Knowledge of data virtualisation concepts and tools (preferably Denodo)
- Experience with BI tools (preferably Tableau, Power BI)
- Understanding of data modelling and database design principles
- Familiarity with data governance and master data management concepts
- Experience with version control systems (Gitlab) and CI/CD pipelines
- Experience working in Agile environments with iterative development practices
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