
Senior Data Engineering Expert
3 hours ago
Job Title: Senior Data Engineering Expert
The ideal candidate will be an expert in data engineering with a strong understanding of cloud-based platforms, particularly Databricks. They will have hands-on experience with Delta Lake, Genie, and ML Flow, as well as proficiency in Python, R, and other programming languages used in data processing.
The selected candidate will possess a solid foundation in SQL and NoSQL databases, including MySQL, PostgreSQL, and MongoDB. They will also have expertise in Spark, especially PySpark or Scala, for data transformation.
In addition to technical skills, the successful candidate will have experience working with cloud platforms like Azure and AWS, particularly Azure storage & services. Knowledge of ML Pipelines, data streaming platforms (e.g., Apache Kafka, AWS Kinesis), and data visualization tools (e.g., Tableau, Power BI, Looker) is highly desirable.
Requirements:
- Education: Bachelors degree in Computer Science, Engineering/MCA, or a related field (Masters preferred)
- 3+ years of experience as a Data Engineer, with hands-on experience in Databricks
Key Skills:
- Cloud-based platforms (Databricks, Azure, AWS)
- Delta Lake, Genie, ML Flow
- Python, R, and other programming languages
- SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB)
- Spark (PySpark or Scala) for data transformation
- Cloud platforms (Azure storage & services)
- ML Pipelines, data streaming platforms (Apache Kafka, AWS Kinesis)
- Data visualization tools (Tableau, Power BI, Looker)
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