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AgileEngine, LLC. ищет инженера по Data Platform для модернизации, миграции и поддержки инфраструктуры данных в облаке и локальных средах.
Кандидат должен иметь опыт работы с Python, Bash и SQL, а также с Snowflake и Confluent/Kafka. В приоритет — DevOps, безопасность данных и способность работать в тесном взаимодействии с командами.
Описание: AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. We are looking for a Data Platform Engineer to modernize, migrate, and maintain reliable data-platform infrastructure across cloud and enterprise environments.
Help migrate infrastructure and data-platform workloads from the existing infrastructure to the new 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 data to data-platform consumers and downstream systems. Modernize the data-platform architecture, tooling, orchestration, storage, and operational practices to align with organizational 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.
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
Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation: USD-based pay with education, fitness, and team activity budgets. Exciting projects: Modern solutions with Fortune 500 and top product companies. Flextime: Flexible schedule with remote and office options.