Application Developer- AWS Data Engineer - Qlik Sense

Job description

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. • 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: • Bachelors 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.