Data Engineer
SkillOrbit
About the Role
This is a full-time, on-site role for a Data Engineer based in Bengaluru.
Key Responsibilities
- Design and implement data pipelines to support business intelligence and analytics.
- Develop data models and optimize data storage solutions.
- Deploy Extract, Transform, Load (ETL) systems to automate data integration processes.
- Manage, maintain, and scale data warehouses.
- Collaborate with cross-functional teams to address data requirements.
Requirements & Tech Stack
- 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.
Qualifications
- 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.






