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High due to Tier-1 brand, mid-level data role, and metro location increasing applicant density.
Medium because AWS data skills transfer broadly but Qlik Sense specialization narrows fit.
High due to explicit 4-7 years requirement and mandatory AWS plus Qlik Sense expertise.
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Architect, implement, and manage scalable data platforms using AWS data services like S3, Athena, Glue, Lake Formation, Lambda, Redshift, and EventBridge.
Design, optimize, and maintain ETL pipelines and data warehouse solutions, ensuring efficient data ingestion and transformation.
Develop advanced Qlik Sense dashboards leveraging data modeling, set analysis, and performance tuning to deliver actionable business insights.
4-7 years of relevant work experience in AWS Data Engineering and Qlik Sense development.
Proficient in AWS data services including S3, Athena, Lake Formation, Lambda, Glue, EventBridge, Redshift, DataZone, CloudTrail.
Strong skills in SQL, Python programming, data warehousing, and ETL pipeline development.
Bachelor's degree in Computer Science, IT or related field; relocation and visa sponsorship not available.
Experienced in implementing serverless and event-driven architectures using AWS Step Functions, Lambda, and EventBridge.
Skilled in CI/CD processes using Azure DevOps or similar automation and deployment tools.
Capable of managing data governance, security, and access control in cloud environments, with ability to collaborate with both business and technical stakeholders effectively.