Data Engineer
Data Engineer
Join a flourishing organization as a Data Engineer, where you will serve as an independent contributor designing and maintaining scalable, high-quality data solutions. In this role, you will take ownership of complex data pipelines and datasets, ensuring analytical precision while proactively resolving issues within established architectural frameworks.
Responsibilities:
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Develop and manage intricate data integrations and pipelines autonomously.
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Convert business requirements into robust, maintainable technical architectures.
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Refine data models, transformations, and queries to ensure peak performance.
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Validate data integrity thoroughly before production and reporting use.
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Resolve end-to-end reporting and data discrepancies with minimal oversight.
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Apply coding best practices and contribute to evolving documentation and standards.
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Partner with cross-functional teams to meet evolving data and business needs.
Required Qualifications:
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4+ years of professional data engineering experience in enterprise environments (SQL or Oracle).
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Proven background with SAP-BI/Crystal Reports and Power BI.
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Experience in Python (coding from scratch or data manipulation) and MS Fabric.
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Deep knowledge of ETL patterns, relational databases, and Enterprise BI ecosystems.
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Understanding of Kimball/dimensional modeling and semantic models.
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Familiarity with DevOps principles and version control.
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Bachelor’s degree in CS, MIS, or a related field.
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Preferred: Experience with Cloud tools like Azure Data Factory or PySpark.
Schedule & Location: This is a direct-hire role based in Atlanta near Smyrna. The position follows a hybrid schedule (3 days onsite, 2 days remote).
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