Collaborate with analytics teams to design scalable data solutions, implement ETL/ELT processes, and optimize data workflows. Build automated utilities, unit tests, and frameworks to enhance data reliability and performance. Work cross-functionally to resolve operational challenges and ensure adherence to engineering best practices.
Key Highlights
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Key Responsibilities
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Benefits & Perks
Job Description
Qualifications:
• Passion for data and a deep desire to learn.
• Bachelor’s Degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline.
• Intermediate Python. Experience in data processing is a plus. (Numpy, Pandas, etc)
• Strong written and verbal communication skills.
• Ability to work both independently and as part of a team.
Responsibilities:
• Collaborate with analytics team to find reliable data solutions to meet the business needs.
• Design and implement scalable ETL or ELT processes to support the business demand for data.
• Perform data extraction, manipulation, and production from database tables.
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