Databricks Architect

6 days ago

Bengaluru Karnataka, India Tarento Group Full time

Bachelor's or Master's degree in Computer Science, Information Technology.
- 8+ years of experience in Data warehousing
- Proven experience as a Databricks Architect or a similar role, with hands-on experience in architecting and implementing data analytics solutions on the Databricks platform.
- Design and develop scalable data pipelines, data lake architectures, and data warehousing solutions on the Databricks platform using Spark and Delta Lake.
- Implement and configure the Databricks environment, including clusters, notebooks, and libraries, ensuring optimal performance and resource utilization.
- Integrate data from various sources, including structured, semi-structured, and unstructured data, into Databricks for processing and analysis.
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).
- Knowledge of data modeling, data warehousing concepts, and ETL processes.
- Familiarity with big data technologies and distributed computing frameworks.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills to work effectively with cross-functional teams

**Job Requirement**
- Bachelor's or Master's degree in Computer Science, Information Technology.
- 8+ years of experience in Data warehousing
- Proven experience as a Databricks Architect or a similar role, with hands-on experience in architecting and implementing data analytics solutions on the Databricks platform.
- Design and develop scalable data pipelines, data lake architectures, and data warehousing solutions on the Databricks platform using Spark and Delta Lake.
- Implement and configure the Databricks environment, including clusters, notebooks, and libraries, ensuring optimal performance and resource utilization.
- Integrate data from various sources, including structured, semi-structured, and unstructured data, into Databricks for processing and analysis.
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).
- Knowledge of data modeling, data warehousing concepts, and ETL processes.
- Familiarity with big data technologies and distributed computing frameworks.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills to work effectively with cross-functional teams

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