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Kafka ETL Real Time Data Acquisition Good Oral And Written Communication Skills Bach
 
Requirement id 103094
Job title Engineer
Job location in Los Angeles, CA
Skills required Data Engineer, Kafka, ETL, Real Time Data Acquisition Good Oral And
Open Date 05-Feb-2020
Close Date
Job type Contract
Duration 6 Months
Compensation DOE
Status requirement ---
Job interview type ---
   Email Recruiter: coolsoft
Job Description Engineer: Data Engineer, Kafka, ETL, Real Time Data Acquisition Good Oral And

Responsibilities

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
General skills
Must have

Kafka
2 year(s) of experience
ETL
5 year(s) of experience
Real-time data ingestion
2 year(s) of experience

Nice to have

Redshift
Cassandra
Snowflake

Languages
Must have

English
Native or bilingual proficiency

Additional job information

This person needs to be more on the data engineer side of the house as opposed to a Hadoop/Big Data Developer. While Big Data XP is a plus, this is not a Hadoop ecosystem.
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 103094 while calling.
 
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