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MurphLab Business Consultancy is seeking a Senior Data Engineer to design and optimize scalable, cloud-based data solutions using Python, AWS and Snowflake. You will build robust data pipelines and collaborate with cross-functional teams to drive analytics.
The ideal candidate has 7+ years in data engineering, strong SQL and data modeling skills, and experience with ETL/ELT, data warehousing, and CI/CD.
We\'re hiring a Senior Data Engineer with strong expertise in Python, AWS, and Snowflake to build and optimize scalable cloud-based data solutions.
At least 7 years of experience in Data Engineering or a related role.
Strong hands-on experience with Python, Snowflake, and AWS.
Experience designing and maintaining modern cloud data platforms and ETL/ELT pipelines.
Proficiency in SQL and data modeling concepts.
Familiarity with data warehousing, performance optimization, and large datasets.
Experience with CI/CD, Git, and Agile development practices.
Strong analytical, problem-solving, and communication skills.
Bachelor\'s degree in Computer Science, IT, Engineering, or a related field (or equivalent experience).
Responsibilities
Design, develop, and maintain scalable data pipelines and data workflows.
Build and optimize data solutions using Python, Snowflake, and AWS.
Develop reliable ETL/ELT processes to support business reporting and analytics.
Collaborate with cross-functional teams to deliver high-quality data solutions.
Monitor, troubleshoot, and improve the performance of data platforms.
Recommend and implement best practices for data engineering and cloud technologies.