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Data Infrastructure Specialist
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We are seeking a skilled professional to build, maintain, and optimize our data infrastructure.
Key Responsibilities:
- Design, develop, and maintain ETL/ELT data pipelines using AWS Glue, Lambda, and Python.
- Develop and optimize Snowflake stored procedures for complex business logic and data transformations.
- Manage and monitor scheduled data workflows using Apache Airflow.
- Implement and maintain robust data quality checks to ensure accuracy and reliability of delivered datasets and reports.
Requirements:
- 6+ years of experience in data engineering.
- Hands-on experience with AWS Cloud services, including Lambda, DMS, and Glue.
- Solid understanding of data warehousing concepts and practical experience using Snowflake.
- Strong proficiency in SQL scripting and proficiency in Python for data manipulation and automation.
- Excellent problem-solving skills and ability to design and implement solutions based on business requirements.
About the Role
This is an exciting opportunity to leverage your expertise in data engineering to drive business growth. You will be responsible for designing, developing, and maintaining data infrastructure that supports our organization's strategic objectives.
What We Offer
We offer a dynamic work environment, competitive compensation package, and opportunities for career growth and development.
