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Data Platform Engineer

🔥 1 minute ago

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on In All Media's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

Logo of In All Media

In All Media

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

📋 Description

• Lead and execute migration of data platform workloads, pipelines, and storage from legacy corporate infrastructure to enterprise cloud infrastructure • Migrate workloads and infrastructure to AWS us-east-2, ensuring cross-network connectivity, security prerequisites, and deployment standards • Modernize Hadoop, Hive, and Airflow batch ecosystems toward Snowflake, Confluent Kafka, and AWS-managed services • Implement governed and secure data access models for downstream systems and business consumers • Operate, maintain, and monitor production and staging environments across Snowflake, Confluent Kafka, and AWS • Use Terraform and GitLab CI/CD to codify, audit, and automate configurations, platform changes, and environment setups • Participate in production troubleshooting, on-call incident response, and root cause analyses • Author operational runbooks and migration documentation • Collaborate with distributed engineering teams with at least six hours of overlap during US Central Time business hours

🎯 Requirements

• 3+ years of hands-on, senior-level experience in production data platform engineering with a strong DevOps / Platform Engineering orientation • Strong programming proficiency in Python, shell scripting (Bash), and advanced SQL • Production operational/DevOps experience with both Snowflake and Confluent/Kafka • Deep expertise in either Snowflake and AWS with solid operational knowledge of Kafka, or Confluent/Kafka and AWS with solid operational knowledge of Snowflake • Experience operating, deploying, and migrating production-grade data pipelines across development, staging, and production tiers • Proficiency in least-privilege security architectures, enterprise change control, secure secrets management, and audited deployment practices • Strong debugging, production incident-handling, runbook authoring, and cross-functional stakeholder communication skills • Ability and requirement to perform all development work within an enterprise-provisioned AWS WorkSpaces virtual desktop environment • Reliable network latency/connectivity to an AWS WorkSpace region; must complete the official health check and submit a passing-results screenshot • All interviews, technical documentation, daily team syncs, and operational communications conducted in English • Nice-to-have: experience with Apache Spark, Hadoop, Hive/HQL, Airflow, Snowpark, AWS Glue, data lakehouse formats, data observability platforms, corporate integrations, acquisitions, or system alignments

🏖️ Benefits

• 100% remote contractor position • Contract directly with In All Media • Minimum 6-hour overlap with US Central Time business hours

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