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Qualification & Experience:
Must have a full-time Bachelor's degree in Computer Science or similar from an accredited institution.
At least 5 years of experience as a data engineer with strong expertise in Python, Snowflake, PySpark, and AWS.
Proven experience delivering large-scale projects and products for Data and Analytics, as a data engineer.
Skill Set Requirement:
Vast background in all things data-related.
3+ years of real-world data engineering development experience in Snowflake and AWS (certifications preferred).
Highly skilled in one or more programming languages, must have Python, and proficient in writing efficient and optimized code for data integration, storage, processing, manipulation and automation.
Strong experience in working with ELT and ETL tools and being able to develop custom integration solutions as needed, from different sources such as APIs, databases, flat files, and event streaming. Including experience with modern ETL tools such as Informatica, Ma ...