DWH Engineer

Posted 15 Days Ago
Be an Early Applicant
2 Locations
Remote
Junior
AdTech • Digital Media • News + Entertainment • Software
The Role
Designs, builds, and maintains data warehouse and data lake solutions. Develops ETL/ELT pipelines using Python, SQL, and Airflow; integrates APIs, databases, SaaS platforms, and third-party systems; and supports Trino-based analytics. Responsibilities include incremental loading, CDC, backfills, monitoring, troubleshooting, data quality validation, query and pipeline optimization, code reviews, and collaboration with analysts, engineers, and business stakeholders.
Summary Generated by Built In

We're Gypsy Collective. The digital world is evolving faster than ever. New opportunities, new challenges, new ambitious goals. That’s why strong businesses need strong people. 

Gypsy Collective is an exclusive talent partner for selected brands. We help our partners attract exceptional talent by building long-term relationships and becoming deeply integrated into their business, culture, and growth ambitions.

We are looking for a DWH Engineer to design, build, and maintain scalable data warehouse solutions that support analytics and business decision-making. You will work across the full data lifecycle - from data ingestion and transformation to orchestration and optimization - while collaborating with analysts, engineers, and business stakeholders.

📅  Your adventures include:

  • Develop, and maintain DWH and Data Lake solutions aligned with business requirements;
  • Build, optimize, and support ETL/ELT pipelines using Python, SQL, Airflow, and related technologies;
  • Integrate and maintain data flows from APIs, databases, SaaS platforms, and third-party systems;
  • Work with Trino and cloud-based analytical platforms to support reporting and analytics needs;
  • Implement and support incremental loading, CDC processes, backfills, and reprocessing workflows;
  • Monitor, troubleshoot, and improve data pipelines to ensure reliability, stability, and timely delivery of data;
  • Implement data quality checks, validation rules, and automated monitoring processes;
  • Optimize SQL queries, data models, and pipeline performance;
  • Collaborate with analysts, BI developers, engineers, and business stakeholders to deliver scalable data solutions;
  • Participate in code reviews and contribute to engineering standards and best practices.

Requirements

🧭 What makes you a great match:

  • Strong SQL skills, including complex queries, CTEs, window functions, analytical queries, and query optimization (2+ years);
  • Strong experience integrating external data sources, including REST APIs, databases, SaaS platforms, and third-party systems;
  • Experience with Apache Airflow (2+ years);
  • Experience with Python for data processing, integrations, and automation (2+ years);
  • Good understanding of DWH concepts, including ETL/ELT, dimensional modeling, Data Vault, and Star/Snowflake schemas (2+ years);
  • Experience building and supporting production data pipelines with a focus on reliability, stability, monitoring, and error handling;
  • Understanding of data quality principles, including validation, testing, reconciliation, and monitoring;
  • Experience with Git

Benefits

💸 Flexible payment options: choose the method that works best for you;
🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care;
📈 Learn & grow: We cover courses and certifications — and offer real opportunities to grow your career with us;
🥐 Benefit Сafeteria: Choose what suits you — sports, language courses, therapy sessions, and more;
🎉 Stay connected: From team-building events to industry conferences — we bring people together online, offline, and on stage;
💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;
🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 — we care about results, not clock-ins.

Skills Required

  • 2+ years of strong SQL experience, including complex queries, CTEs, window functions, analytical queries, and query optimization
  • Experience integrating REST APIs, databases, SaaS platforms, and third-party systems
  • 2+ years of Apache Airflow experience
  • 2+ years of Python experience for data processing, integrations, and automation
  • 2+ years of experience with data warehouse concepts, including ETL/ELT, dimensional modeling, Data Vault, and Star/Snowflake schemas
  • Experience building and supporting production data pipelines with reliability, monitoring, stability, and error handling
  • Understanding of data quality principles, including validation, testing, reconciliation, and monitoring
  • Experience with Git
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The Company
HQ: Rio de Janeiro
31 Employees
Year Founded: 2020

What We Do

We’re Gypsy — a digital entertainment collective that transforms work into an expedition. For five years, we’ve been charting new territories and creating our path instead of following others. We are a team of 100+ free-spirited professionals thriving in a remote-first environment, where you can work from anywhere and turn every project into an adventure. At Gypsy, we strip away the corporate fluff to create a place where you can truly make your mark. Our culture is about how we put our principles into action every day. We're human-powered – placing people at the heart of everything we do, because that's how we thrive together. We believe in clear connections – speaking honestly, sharing openly, and building trust that fuels real progress. We stay in growth motion – taking risks, adapting quickly, and turning challenges into stepping stones. And we're always exploring – pushing boundaries with genuine curiosity to discover what's next. This isn't just who we want to be — it's who we are. Modern wanderers connect cultures through play, make important decisions, and celebrate our shared journey along the way. Team up and roam with us.

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