About this role
This role involves transforming scattered operational data into structured insights, designing data workflows, and supporting analytics within Amazon Studios Data Operations.
Key Responsibilities
- Transform workflows into datasets
- Design SQL transformations
- Partner with business teams
- Build data validation mechanisms
- Support automation initiatives
Technical Overview
The technical environment includes SQL, data modeling, ETL/ELT processes, and AWS data services such as Redshift, S3, Glue, EMR, and Kinesis.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 3+ years of experience in data pipeline development, data modeling, and AWS cloud technologies. They are skilled in SQL, ETL/ELT processes, and data governance, with a collaborative mindset and problem-solving skills.
Must-Have Skills
3+ years of data engineering experience1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling1+ years of developing and operating large-scale data structures for business intelligence analytics using SQLKnowledge of professional software engineering & best practices
Nice-to-Have Skills
Experience with AWS technologies like RedshiftS3AWS GlueEMRKinesisFireHoseLambdaand IAM roles and permissionsExperience with non-relational databases / data stores
Tools & Platforms
AWS RedshiftAmazon RedshiftAWS S3Amazon S3AWS GlueAmazon GlueAWS EMRAmazon EMRAWS KinesisAmazon KinesisFireHoseLambdaIAM
Required Skills
SQLETLData modelingData transformationData validationData lineageWorkflow automationData pipelinesAWS RedshiftAmazon RedshiftAWS S3Amazon S3AWS GlueAmazon GlueAWS EMRAmazon EMRAWS KinesisAmazon KinesisFireHoseLambdaIAM roles
Hard Skills
SQLStructured Query LanguageETLELTData modelingData transformationData validationData lineageWorkflow automationData pipelinesData governanceData schemaData flowsSource control managementAWS RedshiftAmazon RedshiftAWS S3Amazon S3AWS GlueAmazon GlueAWS EMRAmazon EMRAWS KinesisAmazon KinesisFireHoseLambdaIAM rolesIAM
Soft Skills
collaborationproblem-solvingcommunicationattention to detailteamworkadaptability
Keywords for Your Resume
Data EngineerSQLETLELTData modelingData transformationData validationData lineageWorkflow automationData pipelinesAWS RedshiftAmazon RedshiftAWS S3Amazon S3AWS GlueAmazon GlueAWS EMRAmazon EMRAWS KinesisAmazon KinesisFireHoseLambdaIAM rolesAWSData governance
Deal Breakers
Less than 3 years of data engineering experience, Lack of experience with AWS data services, No SQL or data modeling experience
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