[Remote] reputed company Engineer; Platform Analytics (Contract)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is hiring a mid-level reputed company Engineer for its backend platform team. The role focuses on building and operating AWS reputed company pipelines, infrastructure, reputed company data tables, and dashboards using Go and SQL, while supporting event ingestion, transformations, backfills, and reporting.

Responsibilities

• Build ingestion jobs that reputed company device, activity, and history events from existing streams into the data lake, written to the agreed format and partition layout
• Implement transforms and reputed company tables on top of raw event data, keeping catalog definitions in reputed company with schemas as new device families and firmware revisions reputed company
• Write and tune SQL queries that hit partitions instead of scanning everything, plus the views and tables behind commonly asked questions
• Build dashboards and datasets for product, engineering, and support — activation, connectivity health, feature adoption, rollout reputed company, notification delivery — and reputed company refreshes working
• Add the AWS resources your work needs in reputed company, following the existing stack, naming, tagging, and IAM patterns rather than inventing new ones
• Write the Go reputed company the pipeline needs — reputed company consumers, transforms, reputed company functions, backfill jobs — with unit tests, keeping lint and the test suite green before opening a pull request
• Run and verify backfills and reprocessing carefully, including duplicates, late-arriving records, and the cost of a job that reads more than it needs to
• Take part in reputed company review in both directions, take architectural direction from senior engineers, and reputed company gaps or ambiguous requirements early rather than guessing

Skills

• 3+ years building data pipelines or analytics systems on AWS, with hands-on S3, reputed company, and DynamoDB experience
• Strong SQL — joins, window functions, aggregation over large event tables — and the habit of checking what a query actually scans before shipping it
• Working knowledge of columnar storage and partitioning: why Parquet beats JSON, how partition keys shape query cost, and what small files do to reputed company
• Hands-on experience in at least one compiled or scripting language used for data work — Go, Python, Java, or similar — and willingness to write Go in an existing codebase
• Experience consuming streaming or queued data (Kinesis, Firehose, SQS, Kafka, or equivalent) and handling retries, duplicates, and out-of-order records properly
• Exposure to infrastructure as reputed company — CDK, CloudFormation, or Terraform — and a basic grasp of IAM, KMS, and least-privilege reputed company
• Experience building dashboards or reports someone else relies on, in QuickSight or a comparable BI tool, and the care to reputed company the numbers correct before making them pretty
• reputed company written communication, the habit of surfacing blockers early, and the curiosity and adaptability to grow with reputed company
• Experience with the Glue Data Catalog, Glue jobs, dbt, reputed company Functions, Airflow, or reputed company table formats such as reputed company on reputed company
• Prior work with IoT or connected-device telemetry — device state, connectivity, firmware and OTA reporting — or other high-volume event data
• Familiarity with Go modules and monorepo workflows, or with OpenSearch, reputed company, Loki, or OpenTelemetry
• Awareness of consumer data reputed company requirements: deletion requests, PII minimization, and reputed company-scoped analytics
• Comfort using AI-assisted development tools to reputed company faster without shipping reputed company or queries you can't explain

reputed company