
Senior Data Engineer
Posted Oct 27

Posted Oct 27
This is a fully remote position, open to applicants in India.
• Design, construct, and oversee scalable multi-cloud data platforms.
• Create and enhance real-time and batch data pipelines utilizing Kafka and Spark.
• Develop Lakehouse architectures with Apache Iceberg or Delta Lake.
• Enhance BigQuery, data models, queries, and overall warehouse performance.
• Design dependable and scalable distributed data processing systems.
• Automate infrastructure and deployment processes using Terraform and Kubernetes.
• Maintain high standards for data reliability, security, governance, and compliance.
• Lead technical architecture and design review sessions.
• Guide engineers and contribute to the establishment of engineering best practices.
• Over 8 years of experience in Data Engineering, Data Platforms, or Distributed Systems.
• More than 3 years of experience managing large-scale data platforms in a production environment.
• Extensive hands-on experience with Kafka, Spark, GCP, BigQuery, and Airflow.
• Familiarity with Terraform and Kubernetes.
• Practical knowledge of Lakehouse technologies like Iceberg or Delta Lake.
• Strong comprehension of data modeling, distributed systems, and data warehouse architecture.
• Proven experience leading technical projects and mentoring engineers.
• Nice to have: Experience with Debezium, Redpanda, and dbt.
• Nice to have: Familiarity with Prometheus and Grafana for monitoring and observability.
• Nice to have: Exposure to fintech, financial services, or regulated environments.
• Nice to have: Understanding of data governance, security, and compliance requirements.
• Engage with challenging, large-scale engineering and data complexities.
• Develop modern platforms utilizing state-of-the-art cloud and data technologies.
• Collaborate closely with seasoned engineering, product, and technology leaders.
• Opportunity to take charge of architecture and key technical decisions.
• A remote-first and collaborative work atmosphere.
• Significant opportunities for learning, leadership, and career advancement.
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