You will architect scalable data platforms by engineering robust cloud-native ETL pipelines.
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Freelance
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10 days ago
Responsibilities
We are hiring a Senior Data Engineer – ETL with 10+ years of experience to build and scale modern, reliable, and secure data platforms.Key Requirements:10+ years of Data Engineering experienceStrong hands-on experience in ETL/ELT pipelinesBatch and real-time data processingStrong Python & Advanced SQLHands-on Apache Spark / PySparkData Warehouse / Lakehouse architectureCloud: AWS / Azure / GCPPlatforms: Snowflake / Redshift / BigQuery / Azure SynapseLakehouse: Delta Lake / Apache Iceberg / Apache HudiKafka / AWS KinesisAirflow / Dagster / PrefectdbtPostgreSQL / MySQL; MongoDB is a plusDocker, Kubernetes & TerraformCI/CD for data engineering workflowsExposure to AI/ML data pipelines is preferredRequirement: Strong communication skills; client-facing roleCandidates with experience building cloud-native data platforms at scale in fintech, banking, SaaS, or other data-intensive environments are preferred.