Live opening · Posted 16 hours ago

Data Engineer

SkillOrbit · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 16 hours ago
CompanySkillOrbit
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SkillsPython, AWS, Azure, GCP
SourceLinkedin
ListedPosted 16 hours ago

About the role

Description supplied by the original job listing.

Company Description
Company Name - SkillOrbit
Location - Bengaluru(on-site)
Eligibility - 0-1 Years (Freshers are Welcome)
SkillOrbit is a comprehensive solutions platform that empowers growth through E-Learning, HR Consultancy, and IT Services. Focused on the intersection of education, talent, and technology, SkillOrbit offers industry-focused programs, mentorship-driven learning, and skill-based training to bridge the gap between knowledge and employability. As a growth partner, we help businesses build high-performance teams, align strategies, and drive digital innovation. Guided by the mission to "Empower Growth and Elevate Skills," we enable learners and organizations to thrive in a rapidly evolving world. With scalable services in education, talent management, and technology, SkillOrbit is your partner in achieving success.
Role Description
This is a full-time, on-site role for a Data Engineer based in Bengaluru. The Data Engineer will design and implement data pipelines to support business intelligence and analytics, develop data models and optimize data storage solutions, and deploy Extract, Transform, Load (ETL) systems to automate data integration processes. Additionally, the role includes managing, maintaining, and scaling data warehouses, as well as collaborating with cross-functional teams to address data requirements.
Qualifications
Proficiency in Data Engineering, including architecture design and implementation
Strong Data Modeling and experience in building scalable data models
Expertise in Extract, Transform, Load (ETL) pipeline development and automation
Knowledge of Data Warehousing principles and hands-on experience in managing data storage solutions
Understanding of Data Analytics, with the ability to interpret and deliver actionable insights
Proficiency in programming languages such as Python, SQL, or Scala
Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus
Experience with big data tools like Apache Hadoop, Spark, or Kafka preferred
Bachelor’s degree in Computer Science, Data Science, or related field; Master’s degree is an advantage
Strong analytical thinking, problem-solving skills, and the ability to work both independently and collaboratively

Work arrangement
No

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