This role involves designing and maintaining ELT pipelines, managing databases like Vertica and Snowflake, and collaborating on data solutions.
Key Responsibilities
Required Qualifications
Preferred Qualifications:
- Design, develop, and maintain robust ELT pipelines using modern data engineering tools and practices.
- Work with distributed, column-oriented databases such as Vertica and Snowflake to build high-performance data solutions.
- Implement and manage data workflows using orchestration tools like Apache Airflow.
- Perform root cause analysis and troubleshoot data issues to ensure data integrity and availability.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Document data processes, workflows, and architecture for transparency and maintainability.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of hands-on experience with:
- Python and SQL for data manipulation and transformation.
- Data Warehousing, Dimensional Modelling and Data analytics
- AWS services for data storage, processing, and orchestration.
- ELT methodologies and tools for data integration.
- Apache Airflow, Jenkins or similar orchestration/scheduling tools.
- Exposure to CI/CD pipelines and version control systems like Git.
- Experience with distributed, column-oriented databases such as Vertica or Snowflake.
- Strong analytical and problem-solving skills with a keen eye for detail.
- Excellent communication and organisational skills.
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, or a related field.
- Familiarity with data governance, security, and compliance best practices.
- Apache Spark for distributed data processing.
- Apache Kafka for real-time data streaming.
Top Skills
Apache Airflow
Apache Kafka
Spark
AWS
Git
Jenkins
Python
Snowflake
SQL
Vertica
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