Dynamic role focused on building data pipelines and implementing data architectures.
Ideal candidate has 5+ years of data engineering experience and proficiency in SQL and Spark.
hybridseniorfull-timeEnglishSQLSparkDatabricksSnowflakeAWSGoogle CloudKafkaFlinkPostgreSQLMySQLMongoDBApache SparkDBTTerraformPythonJavaScalaGolangRustDBT+ 12 more
Locations
Australia, New South Wales, Sydney
Requirements
At least 5 years of data engineering experience
Degree or equivalent experience in computer science or related field
Proficiency in SQL and Spark
Experience in consulting or professional services setting
Knowledge of data warehousing technologies
Responsibilities
Build real-time data pipelines
Implement data mesh architectures
Develop data-driven solutions
Optimize data storage and retrieval
Provide client advisory on data practices
Educate client teams on data management strategies
Keep up with industry trends
Engage stakeholders for data engineering strategies