
Data Transformation Specialist
3 days ago
Data Engineer Role
Data engineers play a crucial role in designing, implementing and optimizing data pipelines for efficient data modeling and transformation.
We are seeking an experienced data professional to join our team as a key member responsible for developing backend components and data processing logic.
The ideal candidate will have hands-on experience with ETL/ELT pipelines, DBT, Apache Airflow, and version control tools like Git. A strong understanding of cloud environments such as AWS, GCP or Azure is also essential.
Key Responsibilities:
- Design and implement modular, testable and version-controlled data transformation using DBT.
- Develop custom data connectors or processing frameworks.
- Manage complex workflows and ensure the reliability, scalability and efficiency of data pipelines.
- Troubleshoot and resolve data pipeline issues in production environments.
Required Skills & Qualifications:
- 4+ years of hands-on experience in data engineering roles.
- Strong experience with DBT for data transformation.
- Proficient in Java for building custom data connectors or processing frameworks.
- Deep understanding of Apache Airflow and ability to design and manage complex DAGs.
About the Role
This is a challenging role that requires a deep understanding of data engineering concepts, techniques and best practices. If you are passionate about data and possess excellent technical skills, we encourage you to apply.
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