Match score not available

Sr. Data Engineer (100% Remote, 1099 Contract)

Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree, 5+ years’ experience in software engineering, Experience with big data processing, Programming in Scala or Java.

Key responsabilities:

  • Translate business requirements into technology solutions
  • Design and develop the Omnicell Data Platform
  • Lead design and code reviews
  • Improve system efficiency and stability
Catalyte logo
Catalyte
201 - 500 Employees
See more Catalyte offers

Job description

POSITION SUMMARY

1099 Contract

- Bachelor’s degree
- 5+ years’ experience in software engineering
- Experience developing ETL processing flows with MapReduce technologies like Spark and Hadoop
- Experience developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN

DUTIES AND RESPONSIBILITIES:

- Bachelor’s degree

- 5+ years’ experience in software engineering

- Experience developing ETL processing flows with MapReduce technologies like Spark and Hadoop

- Experience developing with ingestion and clustering frameworks such as Kafka, Zookeeper, YARN

EXPERIENCE AND QUALIFICATIONS

- Hands-on development experience of distributed/scalable systems and high-volume transaction applications, understanding of big data processing.

- Excellent analytical and problem-solving skills.

- Energetic, motivated self-starter that is eager to excel with excellent inter-personal skills.

- Expert in knowing a balance driving the right architecture but realizing the realities of having customers and the need to ship software

Have experience in many of the following areas:

- Programming in Scala, Java or another object-oriented language.

- Using big data technologies like Apache Kafka and Spark.  Preferably with Structured Streaming and Delta lake.

- Using tools like Databricks notebooks to rapidly prototype solutions.

Preferred Knowledge and Skills:

- Hands-on working experience in cloud infrastructure like AWS. Able to scale cade and deploy applications in the public cloud using technologies like AWS, Lambda, Docker, Kubernetes.

- Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O

- Experience working with healthcare specific data exchange formats including HL7 and FHIR.

- Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming

- Experience with various messaging systems, such as Kafka or RabbitMQ

- Working knowledge of Databricks, Team Foundation Server, TeamCity, Octopus deploys and DataDog

Responsibilities:

- Translate business requirements into effective technology solutions

- Help lead the design, architecture and development of the Omnicell Data Platform

- Aid in design and code reviews

- Resolve defects/bugs during QA testing, pre-production, production, and post-release patches

- Analyze and improve efficiency, scalability, and stability of various system resources once deployed

- Assist in providing technical leadership to agile teams – onshore and offshore: Mentor junior engineers and new team members, and apply technical expertise to challenging programming and design problems

- Help define the technology roadmap that will support the product development roadmap

- Continue to improve code quality by tracking, reducing and avoiding technical debt

COMPANY INFORMATION

Click here to access our website for more information about our company.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Self-Motivation
  • Social Skills

Data Engineer Related jobs