Full Stack Data Engineer
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Job Location:
Monthly Salary:
Posted on:
8 hours ago
Vacancies:
1 Vacancy
Job Summary
Were looking for a Full Stack Data Engineer to own our clientsdata platform end-to-end from ingestion and pipelines to APIs and self-serve analytics. Youll work across the entire data lifecycle collaborating with Product Engineering and Analytics to turn raw data into reliable scalable products.
What Youll Do
- Build & Scale Pipelines: Design build and maintain robust ETL/ELT pipelines using Python SQL Spark and Airflow
- Data Infrastructure: Architect and manage data warehouses/lakehouses on AWS/GCP/Azure BigQuery Redshift Snowflake or Databricks
- Full Stack Data Products: Develop APIs data services and internal tools that let teams access and use data easily
- Data Modeling: Design dimensional models and optimize queries for analytics and ML use cases
- Reliability: Implement data quality observability testing and CI/CD for all data workflows
- Cross-functional Impact: Partner with Analysts MLEs and Software Engineers to deliver production data features
What Youll Need
- Experience: 10 years in Data Engineering Software Engineering or similar roles
- Programming: Strong Python and advanced SQL. Go/Java is a plus
- Big Data: Hands-on experience with Spark Kafka or Flink
- Orchestration: Airflow dbt or Prefect
- Cloud: AWS GCP or Azure youve shipped in prod on at least one
- Warehousing: Deep knowledge of columnar DBs: BigQuery Snowflake Redshift etc.
- System Design: Can design for scale latency cost and reliability
- Mindset: Product-oriented ownership-driven and comfortable with ambiguity
