Snowflake

Senior / Analytics Engineer - AI Applications

Pune, Maharashtra, India

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Cloud Computing, AI & Machine LearningIndustries

Analytics Engineer - AI Applications

Employment Type: Full-Time Location Type: [Not Specified] Salary: [Not Specified]

Position Overview

Build the future of the AI Data Cloud. Join the Snowflake team. We are seeking a talented and motivated Analytics Engineer to join our team in Pune, India. This role will be pivotal in building and maintaining the data infrastructure that powers our cutting-edge AI applications, enabling us to deliver intelligent solutions to our customers and internal stakeholders. If you are passionate about data, AI, and working with a world-class cloud data platform, we want to hear from you.

The Role

As an Analytics Engineer focused on AI applications, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines that feed our machine learning models and AI-driven features. You will collaborate closely with data scientists, AI researchers, software engineers, and product managers to understand data requirements and deliver high-quality data solutions. Your work will directly impact the performance and reliability of our AI systems, contributing to Snowflake's innovation in the AI space.

Job Description & Responsibilities

As an Analytics Engineer supporting AI Applications, you will:

Data Pipeline Development & Maintenance

  • Design, build, and maintain scalable, reliable ETL/ELT pipelines in Snowflake to support AI model training, evaluation, and deployment.
  • Integrate data from various sources, including internal systems, Salesforce, and other external vendor platforms.
  • Develop a willingness to learn B2B concepts and the intricacies of diverse data sources.
  • Implement data quality frameworks and ensure data integrity for AI applications.

System Integration & Automation

  • Develop and automate data processes using SQL, Python, and other relevant technologies.
  • Work with modern data stack tools and cloud-based data platforms, with a strong emphasis on Snowflake.

MLOps Understanding & Support

  • Gain an understanding of MLOps principles and contribute to the operationalization of machine learning models.
  • Support data versioning, model monitoring, and feedback loops for AI systems.

Release Management & Collaboration

  • Participate actively in frequent release and testing cycles to ensure the high-quality delivery of data features and reduce risks in production AI systems.
  • Develop and execute QA/test strategies for data pipelines and integrations, often coordinating with cross-functional teams.
  • Gain experience with access control systems, CI/CD pipelines, and release testing methodologies to ensure secure and efficient deployments.

Performance Optimization & Scalability

  • Monitor and optimize the performance of data pipelines and queries.
  • Ensure data solutions are scalable to handle growing data volumes and evolving AI application needs.

What You Will Need

Required Skills

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related STEM (Science, Technology, Engineering, Mathematics) field.
  • Strong proficiency in SQL for data manipulation, querying, and optimization.
  • Proficiency in Python for data processing, automation, and scripting.
  • Hands-on experience with Snowflake or other cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse).
  • A proactive and collaborative mindset with a strong desire to learn new technologies and B2B concepts.

Preferred Skills

  • Experience in building and maintaining ETL/ELT pipelines for AI/ML use cases.
  • Understanding of MLOps principles and tools.
  • Experience with data quality frameworks and tools.
  • Familiarity with data modeling techniques.
  • Experience with workflow orchestration tools (e.g., Airflow, Dagster).
  • Knowledge of software engineering best practices, including version control (e.g., Git), CI/CD, and testing.
  • Experience coordinating QA/test strategies for cross-team integration.
  • Familiarity with access control systems (e.g., Okta) and release testing.
  • Excellent problem-solving and analytical skills.
  • Strong communication and interpersonal skills.

Company Information

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our... [Content truncated]

Skills

SQL
Python
ETL/ELT pipelines
Snowflake
Data pipelines
Data quality frameworks
Data integration
MLOps
Data automation
Cloud data platforms

Snowflake

Data management and analytics platform

About Snowflake

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Bellevue, WashingtonHeadquarters
2012Year Founded
$1,341.3MTotal Funding
IPOCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
5,001-10,000Employees

Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.
A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.
Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.
Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.
Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.
Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Risks

Integration challenges from Datavolo acquisition may disrupt operations and customer service.
Increased competition from Mistral AI could challenge Snowflake's market position.
Convertible senior notes pricing may increase financial pressure if market conditions worsen.

Differentiation

Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.
The AI Data Cloud enables near-unlimited scale and performance for data mobilization.
Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

Upsides

Acquisition of Datavolo enhances Snowflake's open data integration capabilities.
Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.
Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

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