CrawlJobs Logo

QuickSight Engineer

augustahitech.com Logo

Augusta Hitech Soft Solutions

Location Icon

Location:
India , Remote

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

We are seeking a QuickSight Engineer with expertise in AWS QuickSight, SQL, AWS Glue, and performance optimization. The ideal candidate will be responsible for building high-performing dashboards, optimizing data pipelines, and enabling actionable insights for business teams.

Job Responsibility:

  • Design, develop, and maintain interactive dashboards and visualizations using AWS QuickSight
  • Write and optimize SQL queries to ensure efficient data extraction and transformation
  • Use AWS Glue to build and maintain scalable data pipelines for reporting and analytics
  • Optimize dashboard performance, ensuring fast load times and responsive user experience
  • Collaborate with business stakeholders to gather requirements and translate them into effective data solutions
  • Ensure data accuracy, reliability, and security across all reporting solutions
  • Stay updated with AWS best practices to enhance reporting and analytics capabilities

Requirements:

  • 5+ years of experience in data engineering, BI, or analytics roles with a focus on AWS QuickSight
  • Strong proficiency in AWS QuickSight for dashboard development and advanced visualization
  • Expert knowledge of SQL for querying, data preparation, and optimization
  • Hands-on experience with AWS Glue for building and managing ETL pipelines
  • Proven track record of dashboard and query performance tuning to meet business SLAs
  • Strong analytical mindset, attention to detail, and ability to solve complex data challenges
  • Excellent collaboration and communication skills to work with cross-functional teams

Additional Information:

Job Posted:
February 16, 2026

Work Type:
Remote work
Icon
Augusta Hitech Soft Solutions - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for QuickSight Engineer

Principal Data Engineer

Our team is searching for a Principal Data Engineer to mentor a team of data eng...
Location
Location
United States , Bellevue; Atlanta
Salary
Salary:
125600.00 - 226600.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7-10 years Related experience
  • 5+ years developing cloud solutions using data services
  • Minimum 3+ years of leading data engineering teams
  • Experience crafting and building self-service analytics and big data solutions using cloud technologies (e.g., EMR, Aurora, Redshift, Glue, S3, SWF, Quicksight etc.)
  • Leading/mentoring senior engineers and/or managers
  • Experience with the Software development Life Cycle (SDLC) and Agile/Scrum methods
  • Proven ability to manage global projects or programs including work prioritization, planning, and coordination
  • Strong verbal/written communication and data presentation skills, including an ability to optimally connect with both business and technical teams
  • Ability to work multi-functionally, building and maintaining trust with internal customers
  • Bachelor's Degree Computer Engineering, Computer Science, a related subject area or equivalent experience (Required)
Job Responsibility
Job Responsibility
  • Lead analysis, architecture, design, and development of data warehouse, data lake, and business intelligence solutions
  • Collaborate on analysis, architecture, design, and development of data warehouse and business analytics solutions
  • Research, analyze, recommend, and select technical approaches for solving difficult migration, development, and integration problems
  • Lead as well as contribute (hands-on) to data implementation projects and/or project independent workstreams
  • Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights
  • Conduct and support white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in building relationships with other teams
  • Mentor other team members in their efforts to build data architect skillsets
  • Assist team management to define projects, including helping estimate, plan, and scope work
  • Contribute to presentations required by management and meeting preparations
  • Also responsible for other Duties/Projects as assigned by business management as needed
What we offer
What we offer
  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • Paid time off and up to 12 paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Fulltime
Read More
Arrow Right

Solutions Director, Analytics & AI

Rackspace is seeking a highly accomplished Solution Director, Analytics & AI to ...
Location
Location
United States
Salary
Salary:
202100.00 - 355410.00 USD / Year
rackspace.com Logo
Rackspace
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations
  • Proven track record delivering data modernization: Lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments
  • At least 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization
  • Demonstrated success engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations
  • Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning
  • Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality
  • Proficiency in Python, SQL, and Spark with hands-on experience in: Generative AI: LangChain, vector databases, embedding models
  • Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools
  • Proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences
  • Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or related technical field
Job Responsibility
Job Responsibility
  • Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations
  • Lead the design and architecture of dual solution portfolios: Generative AI Solutions: Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions
  • Data Modernization: Enterprise Lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS
  • Act as the trusted advisor positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization
  • Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios
  • Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (Lakehouse patterns, data mesh, unified analytics)
  • Contribute to Rackspace intellectual property through reference architectures covering both generative AI implementations and Lakehouse design patterns
  • Serve as the primary technical executive orchestrating both generative AI discussions and data modernization programs for strategic accounts
  • Build strategic relationships using two engagement models: Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions
  • Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning
What we offer
What we offer
  • Opportunity to lead dual portfolios at the intersection of generative AI innovation and data platform modernization
  • Direct engagement with C-level executives on transformational initiatives
  • Access to latest AWS technologies across AI and data services
  • Work with leading platforms: Databricks, Snowflake, AWS native services
  • Comprehensive professional development and certification support
  • Competitive compensation and benefits package
  • Fulltime
Read More
Arrow Right

Solutions Director - Analytics & AI

Rackspace is seeking a highly accomplished Solution Director, Analytics & AI to ...
Location
Location
United Kingdom
Salary
Salary:
Not provided
rackspace.com Logo
Rackspace
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep experience with generative AI technologies: Amazon Bedrock, Amazon Q, LLM architectures, RAG implementations
  • Proven track record delivering data modernization: lakehouse architectures, Databricks and/or Snowflake implementations, AWS Glue/EMR deployments
  • At least 5 years as a senior-level architect or solutions leader with hands-on experience in both AI/ML and data platform modernization
  • Demonstrated success engaging C-level executives using generative AI demonstrations while delivering complex data platform transformations
  • Strong understanding across the full spectrum: AI/ML: Generative AI, foundation models, LLMs, traditional ML, prompt engineering, fine-tuning
  • Data Platforms: Lakehouse architectures, data mesh, ETL/ELT, streaming, data governance, data quality
  • Proficiency in Python, SQL, and Spark with hands-on experience in: Generative AI: LangChain, vector databases, embedding models
  • Data Engineering: PySpark, Apache Iceberg/Delta Lake, orchestration tools
  • Proven ability to articulate both visionary AI possibilities and practical data platform requirements to diverse audiences
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field
Job Responsibility
Job Responsibility
  • Strategic Leadership & Opportunity Development: Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for lakehouse transformations
  • Lead the design and architecture of dual solution portfolios: Generative AI Solutions, Amazon Bedrock implementations, Amazon Q deployments, QuickSight with Q capabilities, RAG architectures, and custom LLM solutions
  • Data Modernization: Enterprise lakehouse architectures using AWS Glue, SageMaker Unified Studio, Databricks on AWS, and Snowflake on AWS
  • Act as the trusted advisor positioning generative AI as the transformational vision while grounding delivery in robust data platform modernization
  • Develop compelling business cases that connect AI aspirations with practical data foundation requirements, demonstrating ROI across both portfolios
  • Stay current with advancements in generative AI (foundation models, LLMs) and modern data architectures (lakehouse patterns, data mesh, unified analytics)
  • Contribute to Rackspace intellectual property through reference architectures covering both generative AI implementations and lakehouse design patterns
  • Customer Engagement & Solution Delivery: Serve as the primary technical executive orchestrating both generative AI discussions and data modernization programs for strategic accounts
  • Build strategic relationships using two engagement models: Executive Level: Amazon Q demonstrations, QuickSight analytics with generative BI, art-of-the-possible sessions
  • Technical Level: Lakehouse architecture workshops, platform assessments (Databricks vs Snowflake vs AWS-native), migration planning
  • Fulltime
Read More
Arrow Right

Senior Operations Insight Analyst

Paymentology is the first truly global issuer-processor, giving banks and fintec...
Location
Location
Norway , Oslo
Salary
Salary:
Not provided
paymentology.com Logo
Paymentology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years in data analytics (fintech/banking/FS preferred)
  • Strong SQL
  • hands-on with Metabase or QuickSight (or similar modern BI)
  • Proven partnership with engineering to define data requirements and ensure analytical accuracy
  • understanding of data modelling for long-term usability
  • Exposure to AI/low-code for reporting automation
  • excellent communication and stakeholder management
  • Profile matches IC4 expectations for senior ICs delivering significant projects and mentoring informally
Job Responsibility
Job Responsibility
  • Query and model data with SQL
  • build insightful dashboards and reports in Metabase/QuickSight that track operational performance and SLAs
  • Define data requirements with data engineering/analytics
  • identify and close data quality and availability gaps affecting Ops decision-making
  • Design reporting structures and metrics that scale with business growth, enabling consistent performance tracking and accountability across the Ops group
  • Spot and size process-improvement and automation opportunities
  • pilot low-code/AI solutions to streamline reporting and accelerate insights
  • Serve as the COO’s analytical partner: produce actionable insights, recommendations, and narratives for leadership forums and initiative reviews
  • Act as a deputy to help drive COO-led improvement initiatives
  • track milestones, risks, and outcomes for key Ops projects
  • Fulltime
Read More
Arrow Right

Data Engineer

Continuum is a Managed Service TV advertising platform - making the buying and e...
Location
Location
United States , Denver
Salary
Salary:
105000.00 - 115000.00 USD / Year
Continuum Media
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 1-3 years with: BI platform development and/or data engineering
  • Scripting and programming in Python
  • SQL-based databases (Redshift, Athena, SQL Server, MySQL, etc.)
  • One cloud computing service (AWS, GCP, Azure, etc.)
  • Git version control (Bitbucket, GitHub, etc.)
  • Automated tests as a core part of development workflow (unit, integration, etc.)
  • Data visualization tools (Tableau, QuickSight, Power BI, etc.)
  • Working within an agile framework (Kanban, Scrum, etc.)
Job Responsibility
Job Responsibility
  • Engineer and own robust, scalable ETLs for cleaning and ingesting datasets
  • Build and maintain dashboards for use by internal stakeholders and external clients
  • Analyze and validate data assets, ensuring accuracy and reliability
  • Automate, modularize, and improve existing data ingestions while contributing to orchestration pipelines and expanding data quality assurance
  • Significantly improve and expand the company’s cloud-based, data platform
  • Implement and/or refine CI/CD, IaC, automated testing, agile, and reporting strategies for the department that can scale
  • Gather requirements from external clients and internal stakeholders and translate them into actionable bodies of work for the BI team
  • Collaborate with software developers and data scientists to deliver cross-departmental solutions
  • Communicate new features and lead trainings for internal users
  • Foster and embrace a healthy culture of collaboration and feedback, strengthening the team’s agile roots
What we offer
What we offer
  • 100% employer-paid premiums for medical, vision, dental, and disability insurance
  • Participation in employee profit-sharing bonuses (subject to company performance)
  • Unlimited PTO
  • Life Insurance, EAP, HSA with employer contribution, Pet Insurance option
  • Vacation Incentive Program
  • Hybrid In-Office/Remote Work Schedule
  • 5% 401K company match
  • Continued education/career growth financial support
  • Annual paid volunteer day
  • Fulltime
Read More
Arrow Right

Data Architect

Embark on an exciting journey into the realm of data engineering and architectur...
Location
Location
India , Noida
Salary
Salary:
Not provided
3pillarglobal.com Logo
3Pillar Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Translate business requirements into data requests, reports and dashboards.
  • Strong Database & modeling concepts with exposure to SQL & NoSQL Databases
  • Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures
  • Expertise in designing and writing ETL processes in Python / Java / Scala
  • Understanding of Hadoop framework - Exposure to PySpark, Spark, Storm, HDFS, Hive
  • Strong hands-on experience with either Databricks or Snowflake
  • experience with both is desirable.
  • Knowledge of Master Data management and related tools
  • Strong exposure to data security and privacy regulations (GDPR, HIPAA) and best practices
  • Skilled in ensuring data accuracy, consistency, and quality
Job Responsibility
Job Responsibility
  • Work closely with business leaders and information management teams to define and implement a roadmap on data architecture, data management, business intelligence or analytics solutions.
  • Define a reference architecture for our customers.
  • Support our clients to take control of their data and get value out of it.
  • Fulltime
Read More
Arrow Right

Senior FinOps Engineer

We are looking for a Senior FinOps Engineer with hands-on experience in Cloud Co...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
resmed.com Logo
ResMed
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS/MS in Computer Science or equivalent experience
  • 4+ years of professional experience in Cloud FinOps, IT Financial Management, or Cloud Cost Governance within an IT organization
  • 4+ years of overall experience in Cloud Infrastructure Management, DevOps, Software Development, or related technical roles with hands-on cloud platform expertise
  • Hands-on experience with native cloud cost management tools (e.g., AWS Cost Explorer, Azure Cost Management, OCI Cost Analysis) and third-party FinOps platforms (e.g., Vantage, Cloudability, CloudHealth or CloudZero)
  • Proven experience working within the FinOps domain in a large enterprise environment (e.g., building and managing custom reports, dashboards, and financial insights)
  • Deep understanding of cloud financial management practices, including chargeback/showback models, cost savings and avoidance tracking, variance analysis, and financial forecasting
  • Practical experience with cloud optimization and governance practices such as anomaly detection, capacity planning, rightsizing, tagging strategies, and storage lifecycle policies
  • Skilled in leveraging automation to drive operational efficiency in cloud cost management processes
  • Strong analytical and data storytelling skills, with the ability to collect, interpret, and present complex financial and technical data to diverse audiences
  • Experience developing dashboards and metrics aligned with business goals and industry benchmarks
Job Responsibility
Job Responsibility
  • Prepare and deliver reports, presentations and KPIs on cloud spend performance versus plan and forecast for Finance, engineers, and leaders
  • Support the evaluation, implementation, and ongoing management of cloud consumption and financial management tools
  • Work closely with cross-functional stakeholders to understand their needs, align priorities, and build a clear, value-driven roadmap
  • Partner with engineering, product, and Finance teams to identify cost drivers, promote best practices for efficient cloud consumption, and implement savings opportunities
  • Lead cost optimization initiatives, including analyzing and recommending savings plans, reserved instances, and right-sizing opportunities across CSPs (e.g., AWS, Azure, OCI), SAAS (e.g., Datadog, Snowflake) & GenAI
  • Collaborate with the other Platform teams to ensure effective tagging strategies and alerting frameworks are deployed and maintained at scale
  • Support forecasting by partnering with Finance and engineering teams to understand demand plans and proactively manage capacity and spend
  • Build custom integrations and data pipelines connecting cloud billing APIs, FinOps platforms, and internal systems to enable real-time cost visibility and automated alerting
  • Drive a culture of optimization by translating financial insights into actionable engineering recommendations, promoting cost-conscious architecture, and leveraging automation for resource optimization
  • Leverage Generative AI tools to enhance FinOps automation, streamline reporting, and improve team productivity across forecasting, optimization, and anomaly detection
  • Fulltime
Read More
Arrow Right

Data Analyst

We are seeking a motivated and analytical Data Analyst to support product qualit...
Location
Location
United States , Philadelphia
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Communication Studies, Business, Data Analytics, or a related field
  • 1–2 years of experience in data analysis, preferably in a product, engineering, or quality‑focused environment
  • Proficiency in SQL, Python, or similar data tools
  • Experience using business intelligence or visualization tools such as Tableau, Power BI, or Amazon Quicksight
  • Strong communication skills, with the ability to translate complex data into clear, actionable, executive‑friendly insights
  • Experience working cross‑functionally and managing multiple priorities in a fast‑paced environment
Job Responsibility
Job Responsibility
  • Analyze device performance data, reliability KPIs, telemetry metrics, and CSAT feedback to identify improvement opportunities
  • Support key initiatives related to error tracking, ticket resolution trends, and release impact assessments
  • Partner with stakeholders across engineering, operations, and customer experience to align priorities and ensure timely delivery of insights
  • Create compelling presentations and executive‑level decks to communicate data findings and recommendations
  • Participate in working groups tackling high‑impact reliability issues, contributing to root cause analysis and solution tracking
  • Assist in expanding global data capabilities through improved data access, partnerships, and data enablement initiatives
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy