Описание

As a Data Engineer, you will play a key role in shaping and driving our analytics data pipelines and solutions to empower business insights and decisions. Collaborating with a variety of stakeholders, you will design, develop, and optimize scalable, high-performance data analytics infrastructures using modern tools and technologies. Your work will ensure data is accurate, timely, and actionable for critical decision-making.

Our data platform is built on Snowflake as the analytics warehouse, with Airflow orchestrating our SQL and Python pipelines. We ingest data through Fivetran and S3-based Snowpipe, manage our infrastructure as code with Terraform on AWS, and monitor data quality with Monte Carlo and Snowflake native DQ. AI is part of how we work: we use Claude to speed up development, validation, and on-call triage across the stack.

Responsibilities

Lead the design, development, and maintenance of robust data pipelines and ETL processes, handling diverse structured and unstructured data sources.
Collaborate with data analysts, data scientists, product engineers and product managers to deliver impactful data solutions.
Architect and maintain the infrastructure for ingesting, processing, and managing data in the analytics data warehouse.
Develop and optimize analytics-oriented data models to support business decision-making.
Champion data quality, consistency, and governance across the analytics layer.

Requirements

3+ years of experience as a Data Engineer or in a similar role.
Expertise in SQL and proficiency in Python for data engineering tasks.
Proven experience designing and implementing analytics-focused data models and warehouses.
Hands-on experience with data pipelines and ETL/ELT frameworks (e.g. Airflow, DBT, etc.).
Strong experience with cloud data services (e.g., AWS, GCP, Azure).
AI proficiency: hands-on experience using AI coding assistants such as Claude as part of your daily engineering workflow.
A deep passion for data and a strong analytical mindset with attention to detail.

Nice to have

Strong understanding of business metrics and how to translate data into actionable insights.
Familiarity with data governance and data quality best practices.
Excellent communication skills to work with cross-functional teams including data analysts, data scientists, and product managers.
Familiarity with Terraform and infrastructure-as-code practices.

We offer

This is an opportunity to make a significant impact by enabling data-driven decision-making at scale while growing your career in a dynamic, collaborative environment.