
Sr Databrick Engineer
23 hours ago
Role & responsibilities
- Minimum seven plus years of experience in data analytics field
- Experience with Azure/AWS Databricks
- Experience in building and optimizing data pipelines, architectures and data sets
- Excellent experience in Scala or Python, PySpark and SQL
- Ability to troubleshoot and optimize complex queries on the Spark platform
- Knowledgeable on structured and unstructured data design / modelling, data access and data storage techniques
- Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS
- Hands on experience in performance tuning and optimizing code running in Databricks environment
- Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment
Preferred candidate profile
- Relevant accredited certifications for Azure, AWS, Cloud Engineering, and/or Databricks
Work Experience
- Minimum seven plus years of experience in data analytics field
- Experience with Azure/AWS Databricks
- Experience in building and optimizing data pipelines, architectures and data sets
- Excellent experience in Scala or Python, PySpark and SQL
- Ability to troubleshoot and optimize complex queries on the Spark platform
- Knowledgeable on structured and unstructured data design / modelling, data access and data storage techniques
- Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS
- Hands on experience in performance tuning and optimizing code running in Databricks environment
- Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment
- Data Engineering expertise in Big Data Management using Cloudera, Python, Hive, Scala, Data Warehouse, Data Lake, AWS, Azure
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