Data Engineer
Location: Hybrid – 2 days a week in office in Atlanta, GA
Employment Type: Full Time
Job Overview:
We are seeking a Data Engineer to design, implement, and optimize data infrastructure. This role will focus on building scalable data pipelines, integrating systems, and ensuring high-quality data for analytics. The ideal candidate will have experience with cloud platforms, ETL processes, and database management.
Key Responsibilities:
Data Pipeline Development:
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Design, develop, and maintain ETL/ELT pipelines.
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Process and transform structured and unstructured data.
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Ensure data accuracy, quality, and consistency.
Integration & Automation:
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Integrate data from various sources, including APIs and third-party systems.
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Automate workflows and data processing tasks.
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Optimize system performance for scalability.
Database & Cloud Management:
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Work with relational and non-relational databases.
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Leverage cloud services (Azure, AWS, GCP) for data storage and processing.
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Ensure compliance with data security and governance best practices.
What You Need:
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Experience as a Data Engineer with hands-on cloud and database experience.
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Proficiency in SQL, Python, and data modeling concepts.
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Familiarity with ETL tools, APIs, and data integration processes.
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Experience with cloud platforms such as Azure, AWS, or GCP.
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Strong analytical and problem-solving skills.
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Ability to work independently and collaboratively.
Work Environment:
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Hybrid in Atlanta, GA
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Opportunity to build and optimize data solutions from the ground up.
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Collaborative team environment with growth opportunities.
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