Senior Data Engineer at Vantage

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Retail Media, Advertising TechnologyIndustries

Requirements

Candidates should possess over 5 years of experience in data engineering, big data, and distributed systems for SaaS products. Proficiency in Python, Django, and SQL is required, along with hands-on experience with Snowflake for ETL/ELT pipelines, data warehousing, and analysis. Experience with Great Expectations or similar data quality testing tools, data modeling, data warehousing, and distributed systems is necessary. Familiarity with privacy-compliant data processing (GDPR, CCPA) for advertising/retail media use-cases and experience managing real-time streaming data using tools like Kafka, Kinesis, or Pub/Sub are also required. A track record of successful collaboration with engineering and product teams is essential. Bonus points for experience with data lakes and ML pipelines.

Responsibilities

The Senior Data Engineer will lead architectural discussions and guide the development of data infrastructure to ensure high-quality, trustworthy data. They will oversee data processing and transformation, maintaining data hygiene for downstream applications. The role involves writing maintainable Python code for scalable data management solutions, documenting new and existing features clearly, and coaching the Measurement team to enhance collective capabilities. Communication with stakeholders across the organization to align expectations and ensure transparency regarding data infrastructure and management is also a key responsibility.

Skills

Python

Django

SQL

Snowflake

ETL

ELT

Data Warehousing

Data Modeling

Distributed Systems

Great Expectations

Data Quality Testing

Privacy-Compliant Data Processing

GDPR

CCPA

Kafka

Kinesis

Pub/Sub

Data Lakes

Machine Learning Pipelines

Vantage

Cloud cost management and optimization platform

About Vantage

Vantage.sh is a platform designed to help businesses manage and optimize their cloud costs. It provides tools for creating detailed reports on cloud expenditure, allowing users to filter and group costs by various dimensions, set monthly budgets, and receive alerts when spending exceeds those budgets. The platform supports multiple cloud providers and offers in-depth resource-level analytics, enabling users to track costs across different subscriptions and projects. A standout feature is its Kubernetes cost optimization, which helps users allocate costs by service and identify areas for efficiency. Vantage.sh operates on a self-serve model, making it easy for businesses to start using the service and save on costs, charging a low fee of 5% of the savings generated. The goal of Vantage.sh is to provide businesses with a clear understanding of their cloud spending and help them find opportunities for cost reduction.

New York City, New YorkHeadquarters

2020Year Founded

$23.8MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Enterprise SoftwareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Professional Development Budget

Risks

Increased competition from new entrants like Tech1M in the cloud cost management space.

Potential over-reliance on major cloud providers could lead to vulnerabilities.

Rapid technological advancements in AI may require continuous innovation to stay competitive.

Differentiation

Vantage supports a wide range of cloud providers, including AWS, Azure, and Google Cloud.

The platform offers unique Kubernetes cost optimization and visibility features.

Vantage operates on a self-serve model with an industry-low fee of 5% of savings.

Upsides

Growing demand for cloud cost management tools as businesses adopt multi-cloud environments.

Increased interest in FinOps practices aligns with Vantage's cost optimization mission.

The rise of AI workloads presents opportunities for AI-specific cost optimization features.

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