Remote Senior Data Platform Engineer

Shuru Technologies PTE Ltd

United States

Remote

USD 140,000 - 180,000

Full time

4 days ago
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Job summary

Shuru Technologies Private Limited, an AI-native tech company, seeks a Senior Data Engineer to design scalable data platforms across multi-cloud environments. You will build real-time and batch pipelines with Kafka and Spark, implement Lakehouse architectures, optimize BigQuery and data warehouses, and drive architecture reviews.

You will mentor engineers and automate deployments with Terraform and Kubernetes, ensuring data reliability, security, and governance while collaborating with product

Qualifications

  • 8+ years in Data Engineering, Data Platforms, or Distributed Systems.
  • 3+ years operating large-scale data platforms in production.
  • Strong hands-on with Kafka, Spark, GCP, BigQuery, Airflow.

Responsibilities

  • Design, build, and manage scalable multi-cloud data platforms.
  • Develop and optimize real-time and batch data pipelines with Kafka and Spark.
  • Build Lakehouse architectures using Iceberg or Delta Lake.
  • Optimize BigQuery, data models, queries, and warehouse performance.
  • Automate infrastructure with Terraform and Kubernetes.
  • Ensure data reliability, security, governance, and compliance.
  • Drive architecture reviews and mentor engineers.

Skills

Kafka
Spark
GCP
BigQuery
Airflow
Terraform
Kubernetes
Iceberg/Delta Lake
Data modeling
Distributed systems
Mentoring

Tools

Terraform
Kubernetes
Debezium
Redpanda
dbt
Prometheus
Grafana

Job description

Shuru Technologies Private Limited, an AI-native tech company, seeks a Senior Data Engineer to design scalable data platforms across multi-cloud environments. You will build real-time and batch pipelines with Kafka and Spark, implement Lakehouse architectures, optimize BigQuery and data warehouses, and drive architecture reviews.

You will mentor engineers and automate deployments with Terraform and Kubernetes, ensuring data reliability, security, and governance while collaborating with product

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