Senior Data Engineer in McLean
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Role details
Tech stack
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Requirements
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Core : Expert-level proficiency in Python and PySpark.
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AWS Ecosystem: Deep hands-on experience with AWS Glue and Amazon EMR.
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Big Data Architecture: Proven track record of building scalable pipelines for large-scale data (Terabyte-scale ).
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Data Integrity: Demonstrated experience implementing frameworks for Data Lineage and Data Quality.
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Database Knowledge: Strong experience working with S3-based lakes and relational databases (RDS/PostgreSQL/MySQL)., n
Industry: Experience within the Financial Services industry is a huge plus.
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Real-time Processing: Experience with Kinesis or Kafka integration for low-latency data delivery.
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DevOps: Familiarity with CI/CD for data pipelines and Infrastructure as Code.
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