Golang developer


  • SQL
  • AWS
  • Golang
  • Hadoop
  • MapReduce

Job Description

Currently, we're hiring for aGolangDeveloper in Englewood,Colorado. I have enclosed the job details below. Let me know if you're interested. In case if not interested I'll highly appreciate it if you can refer me to someone who might be interested.

Position - GolangDeveloper

Contract- 6+Months (W2)

Location - Englewood,Colorado
Job Description:
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet both functional and non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Collaborate with stakeholders including the executive, product, data, and design teams to assist with data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
A successful Golang Engineer/ Developer will have:
A Bachelor's degree in Computer Science Engineering, Data Analytics, or a related technical degree.
Technical requirements:
Five+ years of experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Kafka, Flink etc) for building efficient, large-scale 'big data' pipelines.
Strong Software Engineering experience with proficiency in at least one of the following programming languages: Golang, Java, Python, Scala or equivalent.
Implement data ingestion pipelines both real time and batch using best practices.
Experience with building stream-processing applications using Apache Flink, Kafka Streams, or others.
Experience with Cloud Computing platforms like Amazon AWS, Google Cloud etc.
Experience supporting and working with cross-functional teams in a dynamic environment.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Ability to work in a Linux environment.
Ideal qualifications:
Experience in building distributed, high-volume data services.