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Private Advertiser is looking for a Senior Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The role requires hands-on work with Python, Snowflake, and AWS to support reporting and analytics.
You will design ETL/ELT processes, ensure data quality, and collaborate with cross-functional teams to drive data-driven decisions. Strong SQL, data modeling, and agile practices are essential for success.
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.