Platform Engineer – Data, SDE-3/Staff

Job not on LinkedIn

🔥 6 hours ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 25%

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Logo of Weekday (YC W21)

Weekday (YC W21)

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Build and evolve open-lakehouse foundations using Apache Iceberg, Delta Lake, or Apache Hudi • Design and operate batch and streaming ingestion systems, including CDC, data contracts, deduplication, checkpointing, replay, recovery, and failure handling • Develop platform services, APIs, and self-service capabilities for engineering and product teams • Build and manage orchestration and workload execution systems across Kubernetes and technologies such as Prefect, Argo, or Airflow • Establish metadata, lineage, governance, data quality, and observability capabilities • Own production reliability and operational excellence, including incident response, SLAs, data freshness, performance and cost optimization, capacity planning, and recovery improvements • Establish engineering standards and architectural patterns for scaling across teams and workloads

🎯 Requirements

• 7+ years of software or platform engineering experience, with demonstrated SDE-3 / Staff-level ownership and impact • Hands-on experience owning a shared data platform in production • Strong expertise in distributed-systems design and production-grade software development using Python, Java, Go, or Scala • Experience across batch processing, streaming, data ingestion/CDC, storage and query systems, and platform operations • Ability to improve reliability, scalability, performance, cost efficiency, or developer self-service in large-scale production environments • Strong individual contributor able to influence architecture, establish technical standards, and drive complex engineering initiatives • End-to-end ownership from architecture and implementation through deployment, monitoring, incident response, and continuous improvement • Experience with Apache Iceberg, Apache Hudi, Delta Lake, Apache Kafka, Apache Flink, Debezium, Apache Spark, Trino, Pinot, Kubernetes, cloud-native workload platforms, data catalogs, metadata platforms, lineage systems, governance frameworks, data quality platforms, or observability platforms • Must-have skills: Data Platform; Distributed Systems

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