- The Data Engineer will work with engineering and business stakeholders to gather requirements before designing, developing, and maintaining purpose-built data pipelines and data models. The ideal candidate will have a strong background in building Extract-Load-Transform (ELT) or Extract-Transform-Load (ETL) data pipelines.Possess a degree in Computer Science/Information Technology or related fields.
- Work closely with stakeholders to understand their requirements.
- Design, develop, and maintain data pipelines and data models.
- Continuous optimization of data pipelines and data models.
- Support operational needs of data pipelines and data models
- At least 3 years of experience in a role focusing on data pipelines.
- Experience in building on data platforms (e.g. Snowflake, Redshift, Databricks).
- Experience in Continuous Integration and Continuous Deployment (CICD).
- Experience in Software Development Life Cycle(SDLC) methodology.
- Experience in data warehousing concepts.
- Strong problem-solving and troubleshooting skills.
- Strong communication and collaboration skills.
- Proficient in SQL and Python.
Skillsets (Good to have)
- Experience in building on data transformation frameworks (e.g. dbt, Dataform).
- Cloud environments (e.g. AWS, GCP, Azure).
- Big data technologies (e.g.Spark).
- Data platform migration.
