QuickSight Engineer Job at Augusta Hitech Soft Solutions (Remote)

Principal Data Engineer

Our team is searching for a Principal Data Engineer to mentor a team of data eng...

Location

United States , Bellevue; Atlanta

Salary:

125600.00 - 226600.00 USD / Year

T-Mobile

Expiration Date

Until further notice

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

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

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

Solutions Director, Analytics & AI

Rackspace is seeking a highly accomplished Solution Director, Analytics & AI to ...

Location

United States

Salary:

202100.00 - 355410.00 USD / Year

Rackspace

Expiration Date

Until further notice

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

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

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

Solutions Director - Analytics & AI

Rackspace is seeking a highly accomplished Solution Director, Analytics & AI to ...

Location

United Kingdom

Salary:

Not provided

Rackspace

Expiration Date

Until further notice

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

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

Senior Operations Insight Analyst

Paymentology is the first truly global issuer-processor, giving banks and fintec...

Location

Norway , Oslo

Salary:

Not provided

Paymentology

Expiration Date

Until further notice

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

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

Data Engineer

Continuum is a Managed Service TV advertising platform - making the buying and e...

Location

United States , Denver

Salary:

105000.00 - 115000.00 USD / Year

Continuum Media

Expiration Date

Until further notice

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

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

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

Data Architect

Embark on an exciting journey into the realm of data engineering and architectur...

Location

India , Noida

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

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

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

New

Data Engineer

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

March 08, 2026

Requirements

Minimum 2+ years in Data Engineering, Data Analytics platform
Strong hands-on design and engineering background in AWS across a wide range of AWS services with ability to demonstrate working on large engagements
Involved in Requirements Gathering and transforming them into Functional and technical design
Maintain and optimize data infrastructure for accurate extraction, transformation, and loading of data from wide variety of data sources
Design, build and maintain batch or real-time data pipelines in production
Develop ETL/ELT Data pipeline processes to extract and manipulate data from multiple sources
Automate data workflows such as data ingestion, aggregation, and ETL processing
Good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources and heterogeneous databases
Prepare raw data in Data Warehouses into consumable dataset for both technical and non-technical stakeholders
Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures

Fulltime

AWS Data Architect

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related discipline
8+ years in Data Architecture, Data Engineering, or Cloud Architecture roles
Proven experience designing and deploying AWS Data Lake / Lakehouse architectures
Strong experience in enterprise-scale data integration and large data processing systems
Experience supporting FP&A, analytics, BI, or enterprise reporting environments is a plus
Hands-on expertise with AWS services: S3, Glue, Redshift, Lambda, Athena, EMR, Kinesis, Lake Formation, and related tools
Strong programming skills in Python and SQL
Deep knowledge of data modeling, schema design, warehousing concepts, and metadata management
Experience with BI tools such as Tableau, Power BI, or QuickSight
Strong communication and stakeholder management skills

Job Responsibility

Design and implement scalable AWS Data Lake and modern data architecture solutions for large-scale data management and analytics
Build and maintain robust ETL/ELT pipelines using AWS-native tools and modern data engineering frameworks
Ensure data accuracy, consistency, and reliability across ingestion and transformation flows
Develop data integration solutions to support FP&A, financial reporting, forecasting, and enterprise decision-making processes
Optimize AWS environments for performance, scalability, cost-efficiency, and automation
Implement and enforce best practices for data governance, data cataloging, lineage, security, IAM, and compliance across the Data Lake
Work closely with business analysts, data engineers, and analytics teams to deliver end-to-end data solutions aligned with business needs
Participate in critical workshops, events, and team engagements as required within the UAE and across the region

What we offer

Opportunity to work on high-impact AWS data architecture initiatives
Attractive salary and benefits
On-site role in the UAE with exposure to international teams and strategic projects
Career growth in a technology-driven, highly collaborative environment

Fulltime

QuickSight Engineer

Augusta Hitech Soft Solutions

Location:
India , Remote

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 16, 2026

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