ELT Developer

ELT Developer

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

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

ELT 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 ELT tools and databases, and they work closely with data analysts, engineers, and business stakeholders to support data-driven initiatives.

What are the responsibilities & duties of an ELT Developer?

  • Design, develop, and maintain efficient and reliable ELT 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 ELT process
  • Collaborate with data analysts and other stakeholders to understand data requirements
  • Optimize and tune ELT processes for performance and efficiency
  • Troubleshoot and resolve issues in the ELT pipeline
  • Maintain documentation for ELT processes and data flow
  • Implement data security measures in line with organizational standards
  • Monitor ELT processes and perform regular data audits
  • Stay updated with emerging ELT technologies and best practices
  • Contribute to the development of data warehousing strategies

What are the required skills & experiences of an ELT Developer?

  • Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent work experience
  • Proven experience in ELT 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

Core ELT Developer Required Skills

Amazon AthenaAmazon AthenaAmazon GlueAmazon GlueApache AirflowApache AirflowApache IcebergApache IcebergApache NiFiApache NiFiApache SqoopApache SqoopAPIsAPIsAtomicityAtomicityAutomationAutomationBack-End DevelopmentBack-End DevelopmentBashBashBranchingBranchingCCCachingCachingCardinalityCardinalityCI/CDCI/CDCloud ComposerCloud ComposerCloud 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 SharingDagsterDagsterDaskDaskData EngineeringData EngineeringData Engineering InfrastructureData Engineering InfrastructureData FabricData FabricData FormatsData FormatsData InfrastructureData InfrastructureData InterpretationData InterpretationData PipelinesData PipelinesData ShardingData ShardingData StructuresData StructuresData SynchronisationData SynchronisationData TransferData TransferData VaultData VaultData VirtualizationData VirtualizationData WarehousingData WarehousingDatabase & Storage SystemsDatabase & Storage SystemsDatabase DesignDatabase DesignDatabase Management ToolDatabase Management ToolDatabase Scaling StrategiesDatabase Scaling StrategiesDAXDAXDependency InversionDependency InversionDeveloper PlatformsDeveloper PlatformsDevOpsDevOpsDistributed ComputingDistributed ComputingDynamic ProgrammingDynamic ProgrammingETL/ELT ProcessesETL/ELT ProcessesFeature StoresFeature StoresFivetranFivetranForeign KeysForeign KeysForkingForkingFormulasFormulasFunctionsFunctionsGradientsGradientsHadoop Distributed File SystemHadoop Distributed File SystemIBM DataStageIBM DataStageIncremental LoadingIncremental LoadingInformaticaInformaticaInfrastructure as CodeInfrastructure as CodeJavaScriptJavaScriptKeysKeysLocksLocksMethodologiesMethodologiesMitigating BiasesMitigating BiasesModel BiasModel BiasModel MonitoringModel MonitoringMouseflowMouseflowMulti-threadingMulti-threadingMySQLMySQLOracle DatabaseOracle DatabaseP-ValueP-ValuePendoPendoPercentagesPercentagesPerformance MetricsPerformance MetricsPowerShellPowerShellPrestoPrestoPub/SubPub/SubQuery Execution PlansQuery Execution PlansQueuesQueuesRedisRedisReinforcement LearningReinforcement LearningRemote RepositoriesRemote RepositoriesRequirements TranslationRequirements TranslationReverting ChangesReverting ChangesSales ChannelsSales ChannelsSAP Data ServicesSAP Data ServicesSearching TreesSearching TreesServerless Architectures in DataServerless Architectures in DataService-Oriented ArchitectureService-Oriented ArchitectureSingle Responsibility PrincipleSingle Responsibility PrincipleSnapLogicSnapLogicSnowflake Data CloudSnowflake Data CloudSSISSSISStataStataStitch DataStitch DataStrategies for Missing DataStrategies for Missing DataSupermetricsSupermetricsSyntaxSyntaxThrottlingThrottlingTransactionsTransactionsTypeScriptTypeScriptUnixUnixVersion ControlVersion ControlWikiWikiWindows Task SchedulerWindows Task SchedulerXMLXMLYAMLYAML

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

ELT Developer Levels

Intern ELT Developer

Intern ELT Developer

An Intern ETL Developer is a budding professional who assists in the design and development of ETL (Extract, Transform, Load) processes. They play a crucial role in managing data workflows and ensuring data integrity. Under guidance, they contribute to data warehousing projects, and help maintain and enhance ETL solutions.

Graduate ELT Developer

Graduate ELT Developer

A Graduate ETL Developer is an entry-level role in the field of data management, involved in the extraction, transformation, and loading (ETL) of data from various sources into a data warehouse. They work under the guidance of experienced ETL developers and data engineers, applying their academic knowledge to practical data challenges.

Junior ELT Developer

Junior ELT Developer

A Junior ETL Developer is a tech-savvy professional who assists in the extraction, transformation, and loading (ETL) of data. They work under the guidance of senior developers to ensure data is accurately processed and readily available for analytics. Their role is instrumental in maintaining and improving data quality and efficiency.

ELT Developer (Mid-Level)

ELT Developer (Mid-Level)

An ETL Developer is a crucial player in the management and transformation of data within an organization. Their role involves the extraction, transformation, and loading (ETL) of data, ensuring it is ready for analysis and reporting. They are skilled in SQL, data warehousing, and data pipelines, and play a central role in maintaining data integrity and efficiency.

Senior ELT Developer

Senior ELT Developer

A Senior ETL Developer is an experienced professional who oversees the extraction, transformation, and loading (ETL) of data from various sources into a data warehouse. They design, develop, and implement ETL processes, ensuring data is accurate, accessible, and supports informed business decision-making.

Lead ELT Developer

Lead ELT Developer

A Lead ETL Developer is a technical expert, responsible for designing, developing, and managing ETL processes. They ensure data is accurately collected, transformed, and loaded into databases, and provide leadership and guidance to the ETL development team. Their expertise is vital for maintaining data integrity and supporting data-driven decision-making.

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