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ETL Kafka Spark Data Modeling Real Time Data Processing Engineer
(Jobs in REMOTE,
 
Requirement id 96350
Job title Engineer
Job location in Remote, CA
Skills required ETL, Kafka, Spark, Data Modeling Real Time Data Processing
Open Date 14-Aug-2019
Close Date
Job type Contract
Duration 12 Months
Compensation DOE
Status requirement ---
Job interview type ---
   Email Recruiter: coolsoft
Job Description Engineer: ETL, Kafka, Spark, Data Modeling Real Time Data Processing

Description:

What the job is:·

Work as part of the data engineering team to acquire and integrate new data sources into the larger data ecosystem
Develop batch data ingestion processes using a traditional ETL tool such as Talend as well as develop real-time data ingestion processes using a streaming component such as Kafka
Assist in defining, building, and documenting data models
Research, analyze, recommend and select technical approaches for solving difficult and challenging development and integration problems
Learn and adopt new tools and techniques to increase performance, automation, and scalability
Understand business goals and drivers and translate those into an appropriate technical solution
Work closely with Product Management, Program Management, QA, and business stakeholders while designing, building, and launching data integrations

What a qualified candidate should possess:·

Bachelors degree or higher in Computer Science or related field
5+ years of experience in data engineering
Knowledge of modern data architecture, data warehousing and modeling, and analytical data platform technologies
Experience developing ETL workflows in the following technologies: Talend, StreamSets, and Snowpipe
Experience developing modern data architectures on AWS
Experience developing on Kafka and Snowflake
Experience implementing serverless data architectures
Experience developing data flows for NoSQL data stores (e.g. Elasticsearch, Cassandra)
Strong analytical problem-solving ability
Self-starter with the ability to work independently or as part of a project team
Capability to perform performance analysis, troubleshooting, and remediation
Knowledge of High Availability and Disaster Recovery principles, patterns and usage
Ability to keep up with a fast-changing dynamic business
Ability to understand customer needs and drive impactful business outcomes
Aptitude for prototyping and learning new technologies

IT skills
Must have

Real-time data 3 year(s) of experience
ETL 5 year(s) of experience
Kafka 2 year(s) of experience
Spark 2 year(s) of experience
Data modelling 3 year(s) of experience

Experience required

Experience BUILDING real-time data pipelines through the use of Kafka/Spark is the primary skillset. Strong ETL/data modelling background as well.
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 96350 while calling.
 
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(Engineer: ETL, Kafka, Spark, Data Modeling Real Time Data Processing in Remote, CA)
     
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