FreshRemote.Work

Quicksight Engineer

Remote job

ABOUT THE COMPANY

LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.

ABOUT THE CLIENT

Globally recognized leader in high-performance engineering, specializing in advanced propulsion and power systems for the aerospace, defense, and energy sectors. With a strong focus on innovation and precision, the company develops complex technologies that enhance efficiency, reliability, and sustainability. Their expertise in digital transformation and data-driven solutions ensures continuous improvement in performance and operational excellence, supporting critical industries worldwide.

ABOUT THE ROLE

As a QuickSight Engineer, you will be responsible for designing and implementing interactive and insightful data visualizations using Amazon QuickSight. Your role will focus on transforming complex data sets into meaningful dashboards and reports, enabling stakeholders to make informed, data-driven decisions. While expertise in data analytics is valuable, the primary focus is on using QuickSight effectively to create clear, impactful visualizations that communicate key metrics and insights.

RESPONSIBILITIES

  • Design and implement data visualizations using Amazon QuickSight to convert raw data into meaningful dashboards and reports.

  • Connect QuickSight to various data sources, including AWS RDS, S3, and other databases, to integrate and present data seamlessly.

  • Ensure the accuracy and performance of visualizations, optimizing for speed, usability, and clarity.

  • Collaborate with data engineers and business analysts to understand data requirements and ensure that visualizations align with business goals and stakeholder needs.

  • Write SQL queries to extract and manipulate data for visualizations.

  • Apply data visualization best practices to ensure clarity, usability, and actionable insights.

  • Support the adoption and enhancement of QuickSight within the organization, driving its use for reporting and decision-making.

REQUIREMENTS

  • Proficiency with Amazon QuickSight for creating dashboards and reports.

  • Strong understanding of data visualization best practices to create clear and actionable insights.

  • Experience connecting QuickSight to data sources such as AWS RDS, S3, and other databases.

  • Ability to write SQL queries for data extraction, transformation, and analysis.

  • Familiarity with statistical analysis techniques to identify key trends and insights.

  • Strong analytical and problem-solving skills to ensure visualizations deliver accurate and valuable business intelligence.

WHAT WE OFFER

  • Learning opportunities with compensated certificates, learning lunches, and language lessons.

  • Opportunity to switch projects after one year.

  • Team building and victory celebration compensation every quarter.

  • Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.

  • Remote work opportunities.

  • Flexible time off depending on the project.

  • Seasonal activities with colleagues.

  • Health insurance for Lithuanian residents.

  • Referral bonuses.

  • Loyalty days.

  • Recognition of important occasions in your life.

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Job Profile

Benefits/Perks

Compensated certificates Flexible time off Health insurance Language lessons Learning lunches Learning opportunities Loyalty days Recognition of important occasions Recognition of occasions Referral bonuses Remote work Team building Themed lunches

Tasks
  • Apply data visualization best practices
  • Collaborate with data engineers and analysts
  • Connect QuickSight to data sources
  • Design data visualizations
  • Ensure accuracy and performance of visualizations
  • Support QuickSight adoption
  • Write SQL queries
Skills

Amazon Quicksight Analysis Analytical AWS Aws rds AWS S3 Best Practices Data & Analytics Databases Data Visualization German Problem-solving RDS S3 SQL Statistical analysis

Experience

3 years

Education

Engineering

Timezones

UTC+2