Job Details

ID #46394189
State California
City Pleasanton
Job type Contract
Salary USD TBD TBD
Source First Soft Solutions
Showed 2022-10-12
Date 2022-10-12
Deadline 2022-12-10
Category Et cetera
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Data Engineer

California, Pleasanton, 94566 Pleasanton USA

Vacancy expired!

Hi All, I hope you are doing great. My name is Mohan raj and I am a Technical Recruiter with First Soft Solutions Inc an IT solutions provider delivering innovative technology solutions and services across multiple domains. Job Title: Data Engineering Location: Pleasanton, CA Note: (Day one Onsite Position) Required skills - Kafka , Apache Spark , Databricks , AWS Big Data , AWS Machine Learning Minimum 6-7 years of technology industry experience in building Data lake solutions. Proven track record of building and supporting data algorithms and pipelines. Highly Proficient writing in Python or Scala. Experience on any of these cloud platforms, preferred : AWS Proficient in Spark or Databricks, Redshift or BigQuery Knowledge of developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing. 3.Experience 8to10yrs 4.Required Skills Technical Skills- ,Apache Spark,Redshift Domain Skills- 5.N 3.Experience 10to13yrs 4.Required Skills Technical Skills- ,Apache Spark,Redshift Domain Skills- 5.Nice to have skills Techincal Skills- Domain Skills- 6.Technology Data Management 7.Shift Day 8.Roles & Responsibilities Highly proficient in SQL. Able to write, test, ship, and maintain clean production code within a collaborative and version-controlled codebase. Analytics tools like Tableau Experience on secure web servers, middleware, proxy servers, SSL certificates Other Qualifications: Experience with DEVOps/SecOps pipelines , git and CI/CD implementations. Terraform and experience Salesforce knowledge would be an advantage Knowledge with fine grained access control - ACL Bachelor's Degree or higher in Computer Science/Engineering or directly related experience Thanks & Regards, Mohan First Soft Solutions Partner // Progress // Success Office:

Vacancy expired!

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