Fusemachines is a global provider of enterprise AI products and services, looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence.
Requirements
- Experience: 5+ years of hands-on data engineering experience in a production environment.
- Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark.
- Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures.
- ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer).
- Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub).
- Cloud Platform Expertise (Specialization-Specific): Snowflake, Databricks, GCP, Azure, or AWS.
Benefits
- Equal Opportunities Employer, committed to diversity and inclusion.