Senior Data Engineer
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About the role
Factori provides location and consumer intelligence using large-scale consumer, mobility and point-of-interest data. You will scale its GCP data platform, lead data engineers, optimize costs and reliability, and build AI-assisted operational workflows.
What you'll do
- Build and operate batch and streaming data pipelines on GCP
- Tune large Spark workloads and model data in BigQuery and lakehouse storage
- Implement data quality checks, contracts, validation and reconciliation
- Measure and reduce cloud data workload costs
- Lead and mentor 2–4 data engineers and review designs
- Own production monitoring, incident response and pipeline orchestration
Skills
Must have
- Python
- Java
- Pyspark
- Spark SQL
- SQL
- Bigquery
- Dataproc
- Google cloud platform
- Data pipeline orchestration
- Stream processing
Nice to have
- Scala
- Dataflow
- Delta lake
- Apache iceberg
- Terraform
- Docker
- Kubernetes
- LLMs
Tools
- Airflow
- Cloud composer
- Pub/sub
- Kafka
- Cloud storage
- Gke
- PostgreSQL
- Elasticsearch
- Bigtable
- Vertex AI
Who it's for
- Experience
- 6+ years
- Domain
- location intelligence
About Lifesight
Lifesight has 10 open roles in Bangalore, at Lifesight - Innovation Hub. See every Lifesight role.
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