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Data Engineer – Cloud & Pipelines
Job summary
A leading digital solutions provider is seeking a Data Engineer to join their remote team. The role involves designing and maintaining data pipelines, optimizing database performance, and collaborating with cross-functional teams. The ideal candidate has strong SQL, programming skills in Python or similar, and experience with cloud platforms like GCP or AWS. This position offers the opportunity to solve meaningful problems with scalable data solutions.
Qualifications
- Expert-level SQL knowledge for performance tuning.
- Strong programming skills in Python, Go, Java.
- Experience with tools like Airflow, DBT, or FiveTran.
- Deep knowledge of Postgres and BigQuery.
- Understanding of data warehousing design principles.
- Proven experience in API and streaming data integration.
- Hands-on experience with GCP, AWS, or Azure.
- Familiar with Firebase, GA4, or similar tools.
Responsibilities
- Design and maintain data pipelines for batch and streaming.
- Write advanced SQL queries and optimize database performance.
- Work with tools to ensure reliable data movement.
- Develop scalable data solutions using modern programming languages.
- Manage Postgres and BigQuery to ensure data quality.
- Integrate with APIs and streaming platforms.
- Design and optimize data warehouse models.
- Collaborate with teams to define requirements.
- Deploy and monitor data solutions on cloud platforms.
- Implement event-tracking strategies.
Skills
We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. We\'re seeking a Data Engineer to join our remote team and help us solve meaningful problems with clean, scalable data solutions.
Data Engineer role focused on designing, building, and maintaining data pipelines and data platforms to support reporting, analytics, and data-driven decision making.
- Design, implement, and maintain data pipelines and workflows for batch and streaming use cases.
- Write advanced SQL queries and optimize database performance for large-scale datasets.
- Work with orchestration tools such as Airflow, FiveTran, DBT, Pub/Sub, or similar to ensure reliable data movement.
- Develop and maintain scalable data solutions using Python, Go, Java, or other programming languages.
- Architect and manage Postgres, BigQuery, and other DBMS solutions to ensure data quality, availability, and performance.
- Build and manage integrations with APIs and streaming data platforms.
- Design and optimize data warehouse models to support reporting and analytics.
- Collaborate with cross-functional teams to define requirements, ensure data integrity, and deliver actionable insights.
- Work with cloud platforms (GCP, AWS, or Azure) to deploy, monitor, and scale data solutions.
- Implement event-tracking strategies using tools such as Firebase, GA4, or similar.
- Expert-level SQL knowledge, including performance tuning and optimization.
- Strong programming skills in Python, Go, Java, or similar languages.
- Experience with data orchestration tools (Airflow, DBT, FiveTran, Pub/Sub, or equivalent).
- Deep knowledge of database management systems (Postgres, BigQuery preferred).
- Strong understanding of data warehousing design principles and models.
- Proven experience in API and streaming data integration.
- Hands-on experience with cloud platforms (GCP, AWS, or Azure).
- Familiarity with event data collection tools (Firebase, GA4, etc.).
- Strong problem-solving skills and ability to thrive in a collaborative, fast-paced environment.
Remote work: 100% remote; ensure you have a comfortable office setup at your location.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.