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Role- Application Developer
Exp- 4-7yrs
AWS Data Engineer – Qlik Sense: Job Description
Overview:
We are seeking an experienced AWS Data Engineer with advanced Qlik Sense expertise to help develop and manage scalable, cloud-based data solutions tailored to diverse business needs. This role demands a high degree of technical proficiency, collaborative skills, and a keen ability to translate complex data into actionable insights.
Key Responsibilities:
Architect, implement, and manage robust data platforms using AWS services such as S3, Athena, Lake Formation, Lambda, Glue, EventBridge, Redshift, DataZone, and CloudTrail.
Design and optimize ETL pipelines for seamless data ingestion, transformation, and loading using AWS tools.
Develop sophisticated dashboards in Qlik Sense (Cloud or Enterprise), leveraging advanced data modeling, set analysis, variable management, and performance tuning.
Utilize strong SQL abilities for querying, transforming, and optimizing large, complex datasets.
Apply Python programming to automate workflows, process data, and integrate data solutions efficiently.
Oversee structured and semi-structured data warehousing, modeling, and management at scale.
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Implement and manage data governance, access control, and security using AWS Lake Formation, with a solid understanding of data lake architectures.
Build and orchestrate serverless workflows with AWS Step Functions and develop event-driven solutions with Lambda and EventBridge.
Use Azure DevOps or similar CI/CD tools for automation, version control, and deployment of data solutions.
Perform data analytics and reporting, extracting meaningful business insights to support key objectives and KPIs.
Engage and collaborate effectively with both business and technical stakeholders.
Required Skills:
Expertise in AWS Data Services (S3, Athena, Lake Formation, Lambda, Glue, EventBridge, Redshift, DataZone, CloudTrail)
High proficiency with Qlik Sense dashboard development, including advanced modeling and optimization
Strong SQL and Python programming
Experience with ETL pipelines, data warehousing, and data modeling
Familiarity with AWS Step Functions, Azure DevOps, and CI/CD tools
Ability to extract and communicate actionable insights from data
Desirable Skills:
Redshift optimization techniques
Exposure to event-driven architectures (EventBridge)
Knowledge of enterprise-level data governance, compliance, and auditing frameworks
Qualifications:
Bachelor’s degree in computer science, Information Technology, or a related field
Relevant certifications in AWS, Qlik Sense, or data engineering are a plus
Strong interpersonal, communication, and collaborative skills
Relocation Supported:
No
Visa Sponsorship Approved:
No
At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.
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