Leading Data Solutions Architect

1 week ago

Sydney, New South Wales, Australia beBeeData Full time $180,000 - $240,000
Senior Data Engineer Job Description

We are seeking an experienced Senior Data Engineer to lead the design, development, and implementation of large-scale data solutions using AWS Cloud technologies, Big Data, and Data Warehouse platforms.

This role involves building and delivering enterprise-wide data ingestion, integration, and pipeline solutions using a variety of programming languages, including Scala, Java, and Python. The ideal candidate will have experience in designing, building, and delivering complex data solutions on Hadoop platforms using Spark, MapReduce, Sqoop, Kafka, and various ETL frameworks.

The Senior Data Engineer will be responsible for producing conceptual, logical, and physical data models using techniques such as Data Vault, Kimball, 3NF, and design patterns. This includes writing Unix/Linux shell scripts and programming in Scala, Java, or Python. Additionally, proficiency in SQL scripting and writing complex SQL is essential for building data pipelines.

Key Responsibilities:
  • Designing, building, and delivering data ingestion, integration, and pipeline solutions.
  • Building data solutions on Hadoop platforms using Spark, MapReduce, Sqoop, Kafka, and various ETL frameworks.
  • Producing conceptual, logical, and physical data models.
  • Writing Unix/Linux shell scripts and programming in Scala, Java, or Python.
  • Familiarity with SQL scripting and writing complex SQL for building data pipelines.
Requirements:
  • Experience in designing, building, and delivering enterprise-wide data ingestion, data integration, and data pipeline solutions.
  • Experience in building data solutions on Hadoop platforms using Spark, MapReduce, Sqoop, Kafka, and various ETL frameworks.
  • Ability to produce conceptual, logical, and physical data models.
  • Proficient in SQL scripting and writing complex SQL.
Benefits:
  • A people-driven organization that values diversity, inclusion, and flexibility.
  • A respectful and inclusive workplace where everyone feels valued and supported.
  • Flexible work arrangements, including working from home, part-time, and job sharing options.

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