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      "5+ years in data engineering; strong SQL and Python/Scala",
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  "job_description": "Senior Data Engineer\n\nAbout The Role\n\nDesign and scale data platforms that power analytics, ML, and product features. You’ll build streaming and batch pipelines, enforce data contracts, and ensure trust in critical datasets.\n\nResponsibilities\n• Develop ELT/ETL and near-real-time pipelines (Kafka/Flink/Spark) with strong SLAs.\n• Model data (Dimensional/Data Vault), implement governance, lineage, and quality checks.\n• Operate cloud data warehouses (Snowflake/BigQuery/Redshift) and lakehouse patterns (Iceberg/Delta/Hudi).\n• Enable self-service with dbt, catalogs, and metrics layers; partner with DS/BI stakeholders.\n\nRequirements\n• 5+ years in data engineering; strong SQL and Python/Scala.\n• Experience with orchestration (Airflow/Dagster) and CI/CD for data.\n• Focus on reliability, cost efficiency, and documentation.\n\nAbout Andiamo\n\nTalent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world’s largest and most well-known companies.\n\nFor over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.\n\nOur talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com",
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  "job_posted_at_datetime_utc": "2026-03-27T15:00:00.000Z"
}