BENGALURU · FULLTIME
Consultant - Data Engineer
Vivanti Consulting
Bengaluru · onsite · Posted 6d ago
Sourced from
Undisclosed5–10 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Responsibilities
Requirements
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Your career, accelerated. You've got the skills. The curiosity. The hunger to grow, try new things and make a real impact. We're a growing global tech consultancy. Some of the world's biggest businesses turn to us to help bring their data, AI, cloud and digital solutions to life. We're the home base for talented technologists who want more and are looking to take their career to the next level by having more learning, more variety, more support and more chances to do meaningful work. If that sounds like the kind of place you'd thrive in, keep reading.
Responsibilities
- You'll be at the forefront of designing and implementing robust data platform solutions, specifically tailored to fuel our clients' ambitions. Leveraging the latest data platforms and tooling, you will build the foundational data layers for advanced analytics, AI and machine learning.
- Engineering data pipelines: Building efficient and scalable data pipelines that feed clean, curated data into machine learning models on AWS, Snowflake, GCP and Databricks
- Optimizing data for AI consumption: Designing data models and transformations within Snowflake to ensure data is in the perfect format for training, validating, and deploying AI models
- Implementing MLOps data foundations: Collaborating with Data Scientists to establish robust data governance and lineage for machine learning projects, ensuring reproducibility and reliability
- Integrating diverse data sources for AI insights: Connecting disparate data systems into platforms like Snowflake to create comprehensive datasets for advanced AI analytics and predictive modeling
- Leveraging Snowflake's AI capabilities: Exploring and implementing Snowflake's native AI and machine learning features (like Snowpark ML) to enhance data processing and model deployment
- Supporting the data-driven heart of AI transformations: Playing a critical role in bringing AI strategies to life by ensuring the underlying data infrastructure is robust, secure, and performant.
Requirements
- 6 years hands-on experience with Snowflake data warehouse, including its core architecture and advanced features
- Strong proficiency in SQL and Python for data processing, scripting, and integrating with the Snowflake API. Experience with other languages like Scala or Java is a plus
- Significant experience with at least one major cloud provider (AWS, Azure, or GCP), specifically with their data storage services (e.g., S3, ADLS, GCS)
- A deep understanding of various data modeling techniques, such as dimensional modeling (star and snowflake schemas) and data vault, is expected.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Data Engineerai modelsdata platformsamazon web servicesdata storagedata infrastructureArticulateAnalyticsdata modelsADLScloudArchitectureAdvanced AnalyticsData GovernanceData ProcessingMicrosoft AzureData ModelingData PipelineArtificial Intelligence