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Job Type

Full Time

Job Description


Technical Experience

  • 3+ years of deep AWS experience, specifically with Kinesis, Glue, Lambda, S3, and Step
  • 5-7 years of hands-on experience in data pipeline development and ETL processes


Functions


Strong proficiency in NodeJS/JavaScript and Java for serverless and containerized applications

Production experience with Apache Spark, Apache Flink, or similar big data processing frameworks


Data Engineering Expertise


  • Proven experience with real-time streaming architectures and event-driven systems
  • Hands-on experience with Parquet, Avro, Delta Lake, and columnar storage optimization
  • Experience implementing data quality frameworks such as Great Expectations or similar tools
  • Knowledge of star schema modeling, slowly changing dimensions, and data warehouse design patterns
  • Experience with medallion architecture or similar progressive data refinement strategies


AWS Skills

  • Experience with Amazon EMR, Amazon MSK (Kafka), or Amazon Kinesis Analytics
  • Knowledge of Apache Airflow for workflow orchestration
  • Experience with DynamoDB, ElastiCache, and Neptune for specialized data storage
  • Familiarity with machine learning pipelines and Amazon SageMaker integration.

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