Data Engineer

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

Find out Morewww.practiv.com/teamAn awesome teamOur ability to thrash out challenges on the whiteboard — then grab a beer — allows us to jump hurdles where others fail.Freedom and ResponsibilityThe right mix of autonomy, collaboration, accountability & responsibility.Mastery and ImprovementWe learn, and apply ourselves to become the best in the world at what we do.Culture and LifestyleWe're friendly and driven, knowing how to enjoy life, family AND get our work done.Customer focussed, outcome drivenWe work together as a team to increase our understanding of our customers’ needs, move fast, and change direction if we need to. We lead the industry in design and innovation, so we’re constantly learning how to do something new, test for success, document and share the love.We work hard, play hard, and constantly challenge ourselves to innovate before others while maintaining a highly available, very technical platform. If your grandmother can google Arthritis without realising she’s doing it, the technology is doing its thing.

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