The Role
Big Data Engineer with 5-6 years of experience leading a team of engineers, implementing Big Data solutions with expertise in Spark, Scala, Airflow, and AWS; collaborating with software R&D teams; and training staff on data resource management.
Summary Generated by Built In
Big Data Engineer Responsibilities:
- Big Data Engineer with 5+ years of experience
- Experience in leading a team of engineers and a good attitude toward learning the domain and implementation
- Strong exposure and expertise in Spark (Primary), Scala/Java (Scala Primary), Airflow Orchestration and AWS.
- Finalizing the scope of the system and delivering Big Data solutions.
- Collaborating with the software research and development teams.
- Training staff on data resource management.
- Engineering/Master’s degree in computer engineering or computer science.
- In-depth knowledge of Hadoop, Spark, and similar frameworks.
- Excellent Interpersonal and communication skills.
- Ability to solve complex networking, data, and software issues.
Top Skills
Java
Scala
Spark
The Company
What We Do
We Empower & Transform customers’ business through the use of digital technologies.
Our core focus areas are Big-Data, Cloud, Analytics (AI, ML), Blockchain, Automation & Mobility.
We enable navigation of digital transformation for several fortune 1000 clients in USA, Canada, UK & India.
NucleusTeq is a software services, solutions & products company empowering & transforming customers’ business through the use of digital technologies such as Big-Data, Analytics (AI, ML), Cloud, Enterprise Automation, Block-chain, Mobility, CRM & ERP.
.png)
.png)
.png)
