ETL Developer

ETL Developer

Design, build, and maintain data pipelines for effective data extraction, transformation, and loading.

Data Platform
Job Family
AU$100k
Salary
Average salary in Australia
4%
Job Growth
The number of positions relative to last year
11
Open Roles
Job openings on Alooba Jobs

ETL Developers specialize in the process of extracting data from various sources, transforming it to fit operational needs, and loading it into the end target databases or data warehouses. They play a crucial role in data integration and warehousing, ensuring that data is accurate, consistent, and accessible for analysis and decision-making. Their expertise spans across various ETL tools and databases, and they work closely with data analysts, engineers, and business stakeholders to support data-driven initiatives.

What are the typical responsibilities & duties of an ETL Developer?

  • Design, develop, and maintain efficient and reliable ETL processes
  • Extract data from various sources and transform it to fit business needs
  • Load transformed data into data warehouses or other data repositories
  • Ensure the integrity and quality of data throughout the ETL process
  • Collaborate with data analysts and other stakeholders to understand data requirements
  • Optimize and tune ETL processes for performance and efficiency
  • Troubleshoot and resolve issues in the ETL pipeline
  • Maintain documentation for ETL processes and data flow
  • Implement data security measures in line with organizational standards
  • Monitor ETL processes and perform regular data audits
  • Stay updated with emerging ETL technologies and best practices
  • Contribute to the development of data warehousing strategies

What are the typical required skills & experiences of an ETL Developer?

  • Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent work experience
  • Proven experience in ETL processes and tools such as Informatica, SSIS, Talend, or similar
  • Proficiency in SQL and experience with relational databases like Oracle, MySQL, or SQL Server
  • Experience with data warehousing and understanding of data modeling concepts
  • Familiarity with scripting languages such as Python, Java, or PowerShell
  • Knowledge of data integration and transformation best practices
  • Strong analytical and problem-solving skills
  • Experience with cloud platforms like AWS, Azure, or Google Cloud is advantageous
  • Good understanding of data security and compliance standards
  • Excellent communication skills for collaboration with technical and non-technical stakeholders
  • Ability to work independently and manage multiple tasks simultaneously
  • Experience with Big Data technologies and NoSQL databases is a plus

Discover how Alooba can help identify the best ETL Developers for your team

ETL Developer Levels

Intern ETL Developer

Intern ETL Developer

An Intern ETL (Extract, Transform, Load) Developer is a budding professional who assists in the design and development of ETL processes, helping to ensure that data is accurate, consistent, and ready for analysis. They collaborate closely with data teams and learn hands-on about data warehousing, data integration, and database management.

Graduate ETL Developer

Graduate ETL Developer

A Graduate ETL Developer is an entry-level professional who assists in the design and implementation of data extraction, transformation, and loading (ETL) processes. They have a foundational understanding of database systems and are eager to apply their academic knowledge to real-world data challenges.

Junior ETL Developer

Junior ETL Developer

A Junior ETL (Extract, Transform, Load) Developer is responsible for designing and creating data warehouse solutions, ensuring the seamless flow of data from source systems to storage. They work under the guidance of senior team members, gaining hands-on experience with ETL tools and processes, data pipelines, and database management.

ETL Developer (Mid-Level)

ETL Developer (Mid-Level)

An ETL Developer (Mid-Level) is a key player in managing and organizing data within an organization. They design, develop, and maintain systems for extracting, transforming, and loading data from various sources into a unified format that can be used for data analysis and business intelligence. Their work is instrumental in ensuring data quality and accessibility.

Senior ETL Developer

Senior ETL Developer

A Senior ETL Developer is a seasoned professional adept at designing, developing, and maintaining ETL processes. They play a pivotal role in data management, ensuring that data is accurately extracted, transformed, and loaded into databases. Their expertise contributes significantly to data-driven decision making in an organization.

Lead ETL Developer

Lead ETL Developer

A Lead ETL Developer is a pivotal figure in data management, overseeing the design, development, and implementation of ETL processes. Their expertise in data extraction, transformation, and loading ensures that data is effectively prepared for analysis, driving the creation of valuable business insights.

Common ETL Developer Required Skills

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Cloud Composer
Cloud Composer
Cloud Data EngineeringCloud Data EngineeringCloud MonitoringCloud MonitoringClusteringClusteringCognitive BiasesCognitive BiasesCommand Line ScriptingCommand Line ScriptingConcurrency ControlConcurrency ControlConcurrency ControlsConcurrency ControlsContainerizationContainerizationConversion RatesConversion RatesCost FunctionsCost FunctionsCQRSCQRScroncronCross-origin Resource SharingCross-origin Resource SharingDagsterDagsterData EngineeringData EngineeringData Engineering InfrastructureData Engineering InfrastructureData FabricData FabricData FormatsData FormatsData InfrastructureData InfrastructureData IntegrationData IntegrationData InterpretationData InterpretationData LeakageData LeakageData PipelinesData PipelinesData ShardingData ShardingData StoresData StoresData StructuresData StructuresData SynchronisationData SynchronisationData TransferData TransferData VaultData VaultData VirtualizationData VirtualizationData WarehousingData WarehousingDatabase & Storage SystemsDatabase & Storage SystemsDatabase DesignDatabase DesignDatabase ModelingDatabase ModelingDatabase Scaling StrategiesDatabase Scaling StrategiesDAXDAXDell BoomiDell BoomiDependency InversionDependency InversionDeveloper PlatformsDeveloper PlatformsDevOpsDevOpsDimensional ModellingDimensional ModellingDistributed ComputingDistributed ComputingDynamic ProgrammingDynamic ProgrammingEnglish SpellingEnglish SpellingETL/ELT ProcessesETL/ELT ProcessesFivetranFivetranForeign KeysForeign KeysForkingForkingFormulasFormulasFunctional ProgrammingFunctional ProgrammingFunctionsFunctionsFuzzy MatchingFuzzy MatchingGoogle Display AdsGoogle Display AdsGoogle Search AdsGoogle Search AdsGoogle Tag ManagerGoogle Tag ManagerGradientsGradientsHadoop Distributed File SystemHadoop Distributed File SystemIBM DataStageIBM DataStageIBM Db2IBM Db2Incremental LoadingIncremental LoadingInductive ReasoningInductive ReasoningInformaticaInformaticaInfrastructure as CodeInfrastructure as CodeJavaScriptJavaScriptKeysKeysLinuxLinuxLocksLocksMethodologiesMethodologiesModel BiasModel BiasModel MonitoringModel MonitoringMouseflowMouseflowMulti-threadingMulti-threadingMySQLMySQLOracle DatabaseOracle DatabaseP-ValueP-ValuePendoPendoPercentagesPercentagesPerformance MetricsPerformance MetricsPowerShellPowerShellPrestoPrestoPub/SubPub/SubQuery Execution PlansQuery Execution PlansQueuesQueuesRate LimitingRate LimitingRedisRedisReinforcement LearningReinforcement LearningRemarketingRemarketingRemote RepositoriesRemote RepositoriesRoboticsRoboticsSales ChannelsSales ChannelsSAP Data ServicesSAP Data ServicesSearching TreesSearching TreesSentiment AnalysisSentiment AnalysisServerless Architectures in DataServerless Architectures in DataService-Oriented ArchitectureService-Oriented ArchitectureSingle Responsibility PrincipleSingle Responsibility PrincipleSnapLogicSnapLogicSnowflake Data CloudSnowflake Data CloudSQL ServerSQL ServerSSISSSISStataStataStitch DataStitch DataStrategies for Missing DataStrategies for Missing DataStringsStringsSupermetricsSupermetricsSyntaxSyntaxTask ManagementTask ManagementThrottlingThrottlingTransactionsTransactionsTreemapsTreemapsUnixUnixVersion ControlVersion ControlWikiWikiWindows Task SchedulerWindows Task SchedulerXMLXMLYAMLYAMLZ-TestsZ-Tests

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