What you’ll do
- Build batch and streaming pipelines with Spark, Airflow and dbt
- Model data warehouses in Snowflake, BigQuery or Redshift
- Ingest and structure large product and operations datasets
- Add data quality checks, lineage and monitoring
- Make data available to analysts, ML models and APIs
What you’ll bring
- Strong SQL and Python
- Experience with Spark or a similar distributed engine
- Hands-on work with orchestration tools such as Airflow
- Experience with a cloud data warehouse
- Understanding of data modelling (star schema, slowly changing dimensions)
Nice to have
- Kafka or streaming pipelines
- dbt
- Experience preparing data for ML
Why Brandsmashers
Real products for startups and enterprises worldwide, modern stacks with no legacy baggage, and a team that values output over hours. Expect sponsored certifications, tech talks and hackathons, health coverage and wellness days, flexible timings and early ownership of what you build.
See life at Brandsmashers →