Data Engineer – ETL, Kafka, ElasticSearch ELK, Snowflake, Hadoop, SQL, Python 12 mths Cont, Alpharetta, GA .

Loc: Alpharetta, GA or Menlo Park, CA locations. ( ONSITE 3 to 4 days a week hybrid )

 

Interview type: Inperson – locals only

 

Dur: 12+ Months Cont 

 

Data Engineer – ETL, Kafka, ElasticSearch ELK, Snowflake, Hadoop, SQL, Python 12 mths Cont, Alpharetta, GA .

 

Hybrid 3 Days a Week Onsite

Open to Alpharetta, GA or Menlo Park, CA locations. Please put at the top of the resume which location the candidate is being considered for. – Must be local to either location

2 roles total to fill.
 

RTOI Data Engineer – ETL, Kafka, ElasticSearch ELK, Snowflake, Hadoop, SQL, Python 12 mths Cont, Alpharetta, GA .
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Real-time operation intelligence team in Enterprise Computing is responsible to stream terabytes of data daily.
We have built job frameworks to run large scale ETL pipelines with Kafka, ElasticSearch ELK, Snowflake, Hadoop.
Our applications run both on-perm and on the cloud. There are hundreds of dashboards built for business and operations to provide insight and actionable items at real-time.
We are looking for streaming, data engineer
– Understand distributed systems architecture, design and trade-off.
– Design and develop ETL pipelines with a wide range of technologies.
– Able to work on full cycle of development including defining requirement, design, implementation, testing, deployment.
– Strong communication skills to collaborate with various teams.
– Able to learn new technologies and work independently.
Requirements:
– 5 years of application development experience, at least 2 years data engineering with Kafka
– Working experience writing and running applications on Linux
– 5 years of coding experience with at least one of the languages: Python, Ruby, Java, C/C++, GO
– SQL and database experience
Optional:
– AWS or other cloud technologies
– ElasticSearch ELK