Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
5-8 years of experience in data engineering, with hands-on experience in Databricks and Hadoop ecosystems.
Proficiency in Spark (Scala or PySpark), ETL pipeline development, and data migration practices.
Experience with Lakehouse architecture, Delta Lake, and Databricks advanced features (e.g., Lakehouse Federation, Liquid Clustering, Unity Catalog) is a strong plus.
Solid understanding of cloud platforms (Azure) and data governance concepts.
Strong analytical and problem-solving skills with attention to detail.
Ability to work collaboratively in cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
Preferred Skills
Experience with Databricks Migration Accelerator or similar migration tools.
Familiarity with synthetic data generation and pipeline health monitoring.
Understanding of performance tuning, query optimization, and cost management on cloud data platforms.
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