- Work on client projects to deliver Microsoft Azure based Data engineering & Analytics solutions
- Provide hands on technical leadership for relevant technical skills, in multiple projects if required
- Design and implement high performing scalable analytics solutions on Azure following well-architected framework guidelines
- Design pipelines to ingest & integrate structured/unstructured data from heterogeneous sources
- Collaborate with delivery leadership to deliver projects on time adhering to the quality standards
- In-depth knowledge Data processing techniques and handling large data sets
- Hands on experience using different storage services on Azure for storing data, like ADLS, SQL DB, SYnapse, Delta tables, Hive
- Expert level hands on experience using Databricks in at least 4 projects, creating notebooks using Scala/Python
- Expertise using Pyspark and Spark SQL for processing data for various use cases
- Good understanding of Delta lake and how it can be used in conjunction with ADLS and other storage
- Experience working with atleast 1 big data project using map-reduce
- Experience with Databricks scheduling features to automate Databricks jobs
- Problem-solving skills along with good interpersonal & communication skills
- Self-starter who can pick up any other relevant Azure Services in the Analytics space
- Databricks Certified Data Engineer
- Knowledge of HDInsight, and Azure DevOps is a big plus
- DP 20- Microsoft Certified Azure Data Engineer
- Knowledge in Power BI
- Exposure to Databricks on AWS
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Databricks Architect - San Jose, United States - Syntricate Technologies
Description
Position- Databricks Architect
Duration- Long term contract/ Full time hire
Location- San Jose, CA (Onsite day 1 )
JD
Requirements
Key Responsibilities:
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
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