Data Engineer
hace 5 meses
**Are you passionate about developing robust data models and building scalable data pipelines, and got a deep interest in technology? Are you willing to be a part of a quickly growing, product-oriented company while working remotely from home? Then welcome to HomeBuddy**
**This role is full-time and offers home working flexibility**
**HomeBuddy** is an online home improvement platform connecting homeowners with local, verified contractors in the U.S.
Already a well-established, successful firm, **HomeBuddy** is growing at a fast pace and is determined to achieve even more explosive growth. To support this ambitious vision, we are actively developing our team of smart, self-starting and entrepreneurial individuals in many professional categories.
**HomeBuddy** offers a remote and flexible work environment, competitive compensation, attractive benefits and a great opportunity to work on interesting, challenging and constantly evolving projects. As a member of the HomeBuddy team, you will be part of an innovative and dynamic environment where your ideas and efforts will be valued and make a significant impact. You will have the opportunity to collaborate with talented professionals from diverse backgrounds, contributing to the growth and success of the company.
**We are searching for an experienced and motivated Data Engineer **to join our Data and Analytics team. As a Data Engineer, you will be responsible for building and maintaining our data infrastructure, and pipelines, modeling our datasets, and ensuring data quality and reliability. This role reports to the Director of Data & Analytics.
To be successful at HomeBuddy, you need to be passionate about being a part of a very dynamic, challenging, and fast-growing business.
**What you will be doing**:
- Build and maintain data infrastructure that enables the collection, storage, and retrieval of data;
- Create new data flows by integrating our data sources and ensuring they are reliable and efficient;
- Develop ETL pipelines, data warehousing, and data modeling to support business needs;
- Ensure data quality monitoring, reliability, and lineage by developing processes and tools to identify and correct data quality issues;
- Collaborate with other members of the Data & Analytics Team to optimize the data infrastructure and improve data governance;
- Provide documentation and training to end-users on data sources, pipelines, and data quality procedures;
- Stay current with the latest technologies and techniques related to data engineering, and identify opportunities to improve data infrastructure and analysis.
**Requirements**:
- **2+ years** of experience in data engineering or related fields;
- **Experience with data quality monitoring, reliability, and lineage will be an asset;**
- Expertise in Python, SQL, Snowflake, DBT;
- Nice to have experience with EL tools (Fivetran), Orchestration (Prefect), Data Quality Monitoring (Great Expectations, Monte Carlo, DataFold), Version Control Systems, Docker, AWS;
- **Understanding of advanced data infrastructure, tools, and concepts;**:
- Understanding of main data modeling concepts, their use cases, pros and cons;
- Strong analytical and problem-solving skills;
- Business acumen & good communication skills (w/ technical and business stakeholders);
- Business fluency in English;
**Nice to have experience in SaaS or Marketplace companies.**
**Benefits**
We have different perks and benefits, but we also can offer you a supportive work environment powered by a fantastic team
- Competitive compensation according to your skills, experience, and professional accomplishments, including a company bonus;
- Paid vacation, sick leave, and holidays;
- 100% remote work, allowing working and traveling;
- Flexible work hours, when it is convenient to plan your working and personal time;
- Work in one of the most dynamic and fastest-growing industries;
- Ambitious and challenging tasks with a high degree of responsibility and independence;
- Multicultural environment;
- Supportive, friendly, and professional team, which you can always rely on;
- An allowance program for compensation of expenses for wellness and the home office;
- Paid training (school, events, conferences).
**If this sounds like you, we should talk
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