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Senior role with niche data platform skills at a lesser-known company in a metro yields moderate competition.
Core data engineering skills are transferable across industries, though hospitality domain experience is beneficial.
Explicit 8+ years plus mandatory AWS, Flink, Airflow, and lakehouse expertise creates strict technical filters.
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Design, develop, and own scalable data pipelines focusing on performance, maintainability, and data quality.
Design and implement Data Lake, Data Warehouse, and Lakehouse solutions using various architecture patterns.
Collaborate with cross-functional teams to translate business requirements into technical designs and mentor junior data engineers.
8+ years of experience as a Data Engineer.
Bachelor's degree in Computer Science, Information Systems, or related field (Master's is a plus).
Proficiency with AWS Data Services (S3, Glue, Athena, EMR, Kinesis) and data pipeline tools like Apache Airflow.
Experience with batch and real-time data processing frameworks (e.g., Apache Flink, Kafka Streams, pySpark), SQL, and modern file formats (Parquet, Delta Lake, Iceberg, or Hudi).
Experienced with designing and maintaining both batch and streaming data pipelines in cloud environments, especially AWS.
Strong technical expertise in data architecture patterns including Data Lake, Data Warehouse, and Lakehouse.
Able to mentor and lead junior engineers while working closely with business stakeholders to deliver data-driven solutions.