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Data Engineer
Location
United States + 180 moreAll locations: United States, Canada, Brazil, Colombia, Argentina, Chile, Venezuela, Bolivarian Republic Of, Bolivia, Plurinational State Of, Ecuador, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Mexico, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama, Dominican Republic, Puerto Rico, Bahamas, Guadeloupe, Haiti, Jamaica, Martinique, Montserrat, United Kingdom, Germany, France, Estonia, Portugal, Hungary, Poland, Ukraine, Romania, Bulgaria, Czech Republic, Slovakia, Belarus, Moldova, Republic Of, Sweden, Greece, Belgium, Italy, Ireland, Switzerland, Netherlands, Finland, Malta, Denmark, Lithuania, Croatia, Spain, Austria, Bosnia And Herzegovina, Iceland, Luxembourg, Macedonia, The Former Yugoslav Republic Of, Montenegro, Norway, Serbia, Slovenia, Albania, Cyprus, Latvia, Monaco, South Africa, Egypt, Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Congo, Côte D'ivoire, Congo, The Democratic Republic Of The, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-bissau, Kenya, Lesotho, Liberia, Libyan Arab Jamahiriya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Senegal, Seychelles, Sierra Leone, Somalia, Sudan, Swaziland, Tanzania, United Republic Of, Togo, Tunisia, Uganda, Zambia, Zimbabwe, Georgia, Turkey, Israel, United Arab Emirates, Armenia, Azerbaijan, Bahrain, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Palestinian Territory, Occupied, Yemen, India, Japan, Philippines, Pakistan, Thailand, Singapore, Viet Nam, Taiwan, Province Of China, Indonesia, Cambodia, Lao People's Democratic Republic, Malaysia, Myanmar, Korea, Republic Of, China, Afghanistan, Bangladesh, Bhutan, Kazakhstan, Kyrgyzstan, Maldives, Mongolia, Nepal, Sri Lanka, Tajikistan, Turkmenistan, Uzbekistan, Australia, Papua New Guinea, Kiribati, Palau, French Polynesia, Tuvalu, New Zealand
Posted
4 days ago
Salary
Not specified
Job Description
Role Description
- Design, develop, and maintain scalable data pipelines using Airflow;
- Create and optimize tables in Athena, ensuring efficient query performance and cost-effectiveness;
- Write and manage SQL transformations in DBT, building reusable and well-documented models;
- Optimize data workflows for performance, reliability, and cost-efficiency;
- Automate infrastructure provisioning using Terraform for data processing environments;
- Ensure data integrity and consistency through monitoring, validation, and error handling;
- Collaborate with analytics, BI, and engineering teams to understand data needs and deliver solutions;
- Troubleshoot and resolve data pipeline issues in a timely manner.
Qualifications
- 1+ years of experience in data engineering with a focus on ELT processes;
- Good expertise in Python, SQL, data modeling, and performance optimization;
- Experience with Airflow DAGs for workflow orchestration;
- Experience with DBT for data transformations and modular modeling;
- Understanding of AWS S3, Athena, and data lake architectures;
- Familiarity with Terraform for infrastructure automation (will be a plus).
Requirements
- Strong analytical skills;
- Problem-solving skills;
- Attention to detail.
Benefits
- Health & Wellness Focus;
- Global Medical Coverage;
- Growth Opportunities;
- Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
- Performance-Driven Rewards;
- Dynamic Work Environment.
Job Requirements
- 1+ years of experience in data engineering with a focus on ELT processes;
- Good expertise in Python, SQL, data modeling, and performance optimization;
- Experience with Airflow DAGs for workflow orchestration;
- Experience with DBT for data transformations and modular modeling;
- Understanding of AWS S3, Athena, and data lake architectures;
- Familiarity with Terraform for infrastructure automation (will be a plus).
- Strong analytical skills;
- Problem-solving skills;
- Attention to detail.
Benefits
- Health & Wellness Focus;
- Global Medical Coverage;
- Growth Opportunities;
- Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
- Performance-Driven Rewards;
- Dynamic Work Environment.
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