
Data Engineer
2 weeks ago
Unlock a career in data engineering and join the movement towards informed decision-making.
About this roleWe are seeking an experienced data engineer to design and build efficient data pipelines that drive business outcomes. This is a hands-on role that requires problem-solving skills, collaboration with cross-functional teams, and a passion for building scalable systems.
- Design and maintain efficient data pipelines to move data from multiple sources into data stores/warehouses.
- Collaborate with teams to define data requirements, models, and metrics.
- Manage and optimize data storage solutions (Postgres, BigQuery, Redshift, or cost-effective alternatives).
- Ensure data quality, validation, and governance across all pipelines.
- Implement automation, monitoring, and alerting for data workflows.
- Support business intelligence, dashboards, and analytics use cases.
To succeed in this role, you should have:
- 3–5 years of experience in data engineering / backend development.
- Proficiency in SQL and Python (or equivalent programming language).
- Hands-on experience with ETL frameworks (Airbyte, Airflow, dbt, Luigi, or similar).
- Good understanding of data warehousing concepts, schema design, and optimization.
- Exposure to cloud platforms (AWS/GCP/Azure) or open-source alternatives.
- Ability to work independently, prioritize tasks, and deliver in a lean setup.
- Strong problem-solving mindset and a passion for building scalable systems.
Above and beyond the basics:
- Experience working in a startup/bootstrapped environment.
- Knowledge of real-time data processing (Kafka, Spark, Flink).
- Familiarity with BI tools (Metabase, Tableau, Power BI, Looker).
- Exposure to analytics engineering / ML pipelines.
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