
Chief Data Infrastructure Specialist
2 days ago
A highly skilled data engineer is required to design, develop and maintain robust data infrastructure. Key responsibilities include building and optimizing ETL/ELT data pipelines, working with cloud services, leveraging snowflake for data warehousing, managing workflows using Apache Airflow and implementing quality checks.
The ideal candidate will have expertise in the full software development lifecycle, project documentation and data quality best practices. They should also be familiar with AWS services such as Lambda, DMS and Glue, proficient in SQL scripting and Python programming.
Key Responsibilities:
- Design, build and maintain ETL/ELT data pipelines
- Work on cloud platforms including AWS Cloud services
- Leverage Snowflake for data warehouse optimization
- Manage data workflows using Apache Airflow
- Implement robust quality checks
Required Skills and Qualifications:
To excel in this role, you will need:
- Expertise in ETL/ELT data pipeline design and development
- Proficiency in AWS Cloud services, including Lambda, DMS and Glue
- Experience with Snowflake for data warehousing and optimization
- Knowledge of Apache Airflow for workflow management
- Strong problem-solving skills and attention to detail
Benefits:
This role offers a unique opportunity to work on high-impact projects and contribute to the growth of the organization. You will have the chance to work closely with stakeholders and collaborate with a talented team of professionals.
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