Cloud Data Engineering Professional
20 hours ago
We are seeking an experienced Cloud Data Engineer to join our team at Q1 Technologies, Inc. This is a key role in our company's data engineering capabilities and will be responsible for designing, building, and maintaining large-scale data processing systems on cloud platforms.
About the RoleThis position requires a strong background in cloud data engineering with expertise in AWS Glue, Python, and AWS Redshift. Additionally, experience with Airflow, AWS CloudWatch, and good knowledge of CLOUD Data Engineering principles is highly desirable. Familiarity with equivalent AWS technologies in AZURE and GCP, such as Azure Databricks and Azure ADF, is also a plus.
Key Responsibilities- Design and develop scalable data pipelines using AWS services.
- Maintain and optimize existing data processing systems to ensure high performance and reliability.
- Collaborate with cross-functional teams to identify business requirements and implement data-driven solutions.
- Stay up-to-date with emerging trends and technologies in cloud data engineering and continuously improve processes and practices.
- 5+ years of experience in cloud data engineering with a focus on AWS.
- Strong programming skills in Python and proficiency in AWS Glue, AWS Redshift, and Airflow.
- Excellent understanding of data processing concepts, including data warehousing and ETL.
- Good communication and collaboration skills with ability to work effectively in a team environment.
At Q1 Technologies, Inc., we offer a competitive salary range of $120,000 - $180,000 per year, depending on experience, as well as a comprehensive benefits package that includes health insurance, 401(k) matching, and paid time off. We are committed to providing opportunities for growth and development, and we encourage our employees to take ownership of their careers and pursue new challenges.
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