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    Data Engineer - Sydney, Australia - Practiv

    Practiv
    Practiv Sydney, Australia

    3 days ago

    Default job background
    Full time
    Description
    As a Practiv Data Engineer you will join a team of passionate data-cloud technologists who help deliver end to end data engineering solutions for our customers from building data pipelines, warehousing the data and visualisation/presentation. Practiv Data Engineers understand both data pipeline development, operations and management as well as delivery of automated data solutions that are ready for production.What you'll do:
    • Solving our clients' most critical and difficult problems with advanced technologies.
    • Being an integral part in helping to deliver Modern Data & Analytics solutions and help move our customers to the cloud
    • Architecting data platforms to support our clients helping them fully leverage and organise their enterprise data
    • Implementing data lakes as streaming platforms using the latest cloud and big data technologies
    • Working with a fun, collaborative team where everyone can be themselves and are provided the opportunity to love their life
    What you'll bring:
    • Strong professional services background along with well-rounded experience to offer across different disciplines within data and analytics
    • Experience with data services on any or all cloud platforms (Amazon Web Services, Azure, and Google Cloud)
    • Proficiency in modern data architectures and relational database design and development
    • Proficiency and hands-on experience with big data technologies
    • Experience with agile engineering and product development lifecycles and ability to manage agile engineering client engagements
    • Analytical approach to problem-solving; ability to use technology to solve business problems

    Requirements

    • Strong SQL Skills
    • 5+ years of commercial database experience
    • Experience with Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
    • Modern Data Workflows (Apache Airflow, dbt, Dagster) and experience with technologies such as Snowflake, Matillion, DBT, Tableau CRM, Fivetran etc
    • Big Data Platforms (Apache Spark, Presto, Amazon EMR)
    • Object Oriented Coding (Java, Python)
    • NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
    • Container Management Systems (Kubernetes, Amazon ECS)
    • Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
    • Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
    • Visual Analytics (Tableau, PowerBI)
    • Experience with object-oriented/object function scripting languages: SQL, Python, PySpark, Scala, etc
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