DATA ENGINEER
Summary
Build and optimize scalable data pipelines for an enterprise data platform, ensuring platform stability and supporting analytics/BI. Core stack is Databricks and Microsoft Azure with Python/PySpark and SQL; strong hands-on ETL pipeline experience is the primary screening criterion.
We are looking for skilled Data Engineers to join our team for an enterprise data platform initiative. The ideal candidate has strong hands-on experience in end-to-end data projects, cloud-based data solutions, and modern data engineering tools.
You will be responsible for building and optimizing scalable data pipelines, ensuring platform stability, and supporting analytics and business intelligence initiatives.
Must-Have Qualifications:
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At least 1 end-to-end Data project experience (required)
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Strong hands-on experience building ETL pipelines/workflows (this is the primary screening criterion)
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hands-on experience with Databricks (preferred as a core platform skill) and Microsoft Azure (certification is an advantage)
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Solid experience in Python, PysSpark
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Proficiency in SQL (MS SQL, MySQL, PostgreSQL, etc.)
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Actual Data Engineering Experience (Not Just Support/Operations)
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Solid understanding of Data Warehouse and Data Mart concepts
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Experience in query optimization techniques
Preferred Skills:
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Experience working in enterprise data platforms
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Familiarity with CI/CD and DevOps practices in data environments
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Strong analytical and problem-solving skills
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Excellent collaboration and communication skills