Vacancy Description
Strong SQL and programming skills (Python / Scala / Java) Hands-on experience with ETL tools and data pipeline development Solid understanding of data warehousing, data modeling, and BI architecture Experience building APIs and integrating distributed systems Familiarity with cloud data platforms (Azure, AWS, or GCP) Experience with orchestration tools (Airflow, Data Factory, etc.) Nice to Have Experience with streaming technologies (Kafka, Spark) Exposure to Data Lake / Lakehouse architecture Knowledge of data governance, lineage, and quality frameworks Education & Experience Bachelors degree in computer science, Engineering, or related field 38 years of experience in data engineering or related roles Experience in telecom, fintech, or high-volume data environments is an advantage
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