Databricks @Thousand Oaks

Compensation

: $126,470.00 - $187,710.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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Greetings from Canopy One Solutions, Hope you all are doing well! Please glance the requirement & respond me back with your finest consultant Resumes & Contact Details. Project Details: Role: Databricks Location: Thousand Oaks Duration: Long Term Visa: USC/ GC/ H1B Interview Criteria: Skype & Telephonic Job Description: Responsibilities: Designing and implementing highly performant data ingestion pipelines from multiple sources using Apache Spark and/or AWS Databricks Strong experience in administrating Apache Airflow jobs, Scoop, Kafka, AWS (SSH, EMR, S3, EC2, etc Developing scalable and re-usable frameworks for ingesting of data sets Integrating the end to end data pipleline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times Working with event based / streaming technologies to ingest and process data Working with other members of the project team to support delivery of additional project components (API interfaces, Search) Evaluating the performance and applicability of multiple tools against customer requirements Working within an Agile delivery / DevOps methodology Coordinate with onsite and offshore teams Qualifications Strong knowledge of Data Management principles Experience in building ETL / data warehouse transformation processes Direct experience of building data pipelines using Databricks will be an added advantage AWS certification Experience with Open Source non-relational / NoSQL data repositories Experience working with structured and unstructured data Experience working in a Dev/Ops environment with tools such as Maven, Jenkins, GITHub, SONAR, TFS Make it a great day
Associated topics: back end, c#, developer, devops, java, sde, sdet, software development engineer, software programmer, sw * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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