Data platform engineer

We are looking for a Data Platform Engineer to modernize, migrate, and maintain reliable data-platform infrastructure across cloud and enterprise environments. The mandatory requirements are 3+ years of senior-level production data-platform engineering experience, strong Python, Bash and SQL, AWS, Snowflake and Kafka/Confluent expertise, production migration and operations, secure access practices, troubleshooting, and upper-intermediate English. Legacy data migration experience is a plus.

• Help migrate Glassdoor infrastructure and data-platform workloads from GD infrastructure to Indeed infrastructure.
• Help move the data-platform infrastructure and workloads to AWS us-east-2 (USE2), including required connectivity, deployment, and operational prerequisites.
• Enable secure, governed accessibility of Glassdoor data to Indeed data-platform consumers and downstream systems.
• Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with Indeed standards.
• Support Snowflake, Confluent/Kafka, AWS, and data-platform infrastructure migration and operations across stage and production.
• Participate in production troubleshooting, incident response, documentation, runbook creation, and cross-team migration coordination.
• Use Terraform/IaC, GitLab, monitoring and documented processes to deliver repeatable and auditable changes.

• 3+ years of senior-level, hands-on experience in production data-platform engineering, with a platform/DevOps-leaning background and strong data experience.
• Strong Python, Bash, and SQL skills
• Production experience with both Snowflake and Confluent/Kafka, with a focus on DevOps and operations.
• Deep experience in one and working knowledge of the other is fine: Deep Snowflake and AWS, with working Kafka knowledge (topics, connectors, schemas), OR Deep Kafka/Confluent and AWS, with working Snowflake knowledge.
• Experience operating or migrating production systems across development, stage, and production environments.
• Strong troubleshooting, incident-response, testing, documentation, and cross-team communication skills.
• Experience with least-privilege access, change control, secrets handling, and secure operational practices.
• Strong cross-functional communication skills.
• Будет плюсом: Apache Spark and Hadoop/Hive/HQL, including modernizing or migrating legacy workloads; Snowpark, dbt alternatives, AWS Glue, Monte Carlo, or other data-quality and catalog tools; Migrating legacy Airflow, Hadoop or Hive workloads to cloud-native or managed platforms; Experience working across a company migration or acquisition and aligning systems to a new organization's standards; Familiarity with Snowflake-to-Iceberg or Snowflake-to-data-lake migration patterns

• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
• Well-being & support: access local well-being programs and people-focused support tailored to your location