Senior Data Engineer
3 weeks ago
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Experience with Microsoft Fabric or similar cloud-based data integration platforms is a must.
- 10+ years of experience in data engineering, with a strong focus on ETL development using PySpark or other Spark-based tools.
- Proficiency in SQL with extensive experience in complex queries, performance tuning, and data modeling.
- Strong knowledge of data warehousing concepts, ETL frameworks, and big data processing.
- Familiarity with other data processing technologies (e.g., Hadoop, Hive, Kafka) is an advantage.
- Experience working with both structured and unstructured data sources.
- Excellent problem-solving skills and the ability to troubleshoot complex data engineering issues.
- Proven ability to work independently, as part of a team, and in leadership roles.
- Strong communication skills with the ability to translate complex technical concepts into business terms.
Mandate skills
- Experience with Data lake, Data warehouse, Delta lake
- Experience with Azure Data Services, including Azure Data Factory, Azure Synapse, or similar tools.
- Knowledge of scripting languages (e.g., Python, Scala) for data manipulation and automation.
- Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.
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