BENGALURU · CONTRACT
Data Engineer
VOLTO Consulting
Bengaluru · onsite · Posted 2d ago
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Section · 01
About this role
Hiring: Data Engineer – AI/ML & LLM Experience- IMMEDIATE - 30 DAYS JOINERS ONLY 📍
Location: PAN India / Hybrid (as applicable) 💼
Experience: 5–8 Years 🕒
Employment Type: Full-Time 🚀
Immediate Joiners Preferred About the Role We are seeking a highly skilled
Data Engineer with strong expertise in
ETL/Data Engineering , modern cloud-based data platforms, and exposure to
AI/ML and Large Language Models (LLMs) . The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines while supporting AI-driven data solutions on Azure. Key Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines and data engineering solutions.
- Develop and optimize data processing workflows using
Python, Spark, and SQL .
- Build and maintain data platforms using
Azure Databricks ,
Snowflake , Azure Functions, and Service Bus.
- Implement data transformation, cleansing, and integration processes across multiple sources.
- Work with large-scale structured and unstructured datasets.
- Support AI/ML initiatives by preparing and managing data pipelines for model development and deployment.
- Collaborate with Data Scientists and AI teams on LLM-based use cases and intelligent data solutions.
- Implement Infrastructure as Code (IaC) using
Terraform .
- Manage source control, code quality, and deployment processes using
Git, GitHub Actions, Artifactory, and SonarQube .
- Ensure data quality, governance, security, and performance optimization across platforms. Required Skills Mandatory Skills
- 6–8 years of experience in Data Engineering and ETL/ELT processes
- Strong proficiency in
Python
- Hands-on experience with
Apache Spark (PySpark/Spark SQL)
- Extensive experience with:
- Azure Databricks (Unity Catalog preferred)
- Snowflake
- Azure Functions
- Azure Service Bus
- Good knowledge of
SQL
- Experience with
Terraform
- Experience in
CI/CD tools and processes GitHub Actions
- Git
- Arti-factory
- Sonar Qube
- Exposure to
AI/ML and Large Language Models (LLMs) Preferred Skills
- Experience with Azure cloud ecosystem
- Knowledge of Generative AI concepts
- Understanding of data governance and data security best practices
- Experience working in Agile/Scrum environments
- Strong troubleshooting and problem-solving abilities Qualification
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
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Section · 02
Skills
Section · Company
About Volto Consulting
VOLTO Consulting
Employee ratings
8 reviews
Culture
3.6
Career growth
3.6
Work-life
3.6
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