Tableau Administrator with AWS Job at NTT DATA (Mclean)

Tableau Admin with AWS

We are currently seeking a Tableau Admin with AWS - Remote to join our team in M...

Location

United States , Mc Lean

Salary:

87952.00 - 162875.00 USD / Year

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years experience as a Tableau Administrator, with strong skills in Tableau Server and Tableau Desktop
10+ years experience with IT
2+ years experience with AWS, particularly with services relevant to hosting and managing Tableau Server (e.g., EC2, S3, RDS)
Experience with automation, scripting, and operational efficiency improvements
Strong understanding of security, access control, and governance models
Ability to quickly learn and adapt to new platform capabilities and frequent product updates
Strong communication, stakeholder management, and problem-solving skills
Strong ownership mindset with focus on platform stability and user experience
Ability to adapt quickly to evolving technologies and feature releases
Customer-focused approach with strong collaboration skills

Job Responsibility

Responsible for managing and optimizing Tableau Server environment hosted on AWS
Ensure efficient operation, data security, and seamless integration with other data sources and analytics tools
Manage, configure, and administer Tableau Server on AWS, including setting up sites and managing user access and permissions
Monitor server activity/performance, conduct regular system maintenance, and troubleshoot issues to ensure optimal performance and minimal downtime
Collaborate with data engineers and analysts to optimize data sources and dashboard performance
Implement and manage security protocols, ensuring compliance with data governance and privacy policies
Automate monitoring and server management tasks using AWS and Tableau APIs
Assist in the design and development of complex Tableau dashboards
Provide technical support and training to Tableau users
Stay updated on the latest Tableau and AWS features and best practices, recommending and implementing improvements

Fulltime

Data Scientist

Join us as a "Data Scientist" at Barclays, where you'll build analytical tools t...

Location

India , Gurugram

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Is It IC OR People Manager role – IC role
Educational Qualification – Graduation as a minimum
Bachelor or masters degree in data science (or similar) or equivalent commercial experience
Experience with working with senior stakeholders across the data science life cycle from inception of an idea to the delivery within a production environment
Ability to translate technical work into business terms and communicate value to business stakeholders
Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques)
Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must
Familiarity with AWS data science and AI services, including SageMaker and Bedrock
Understanding of GenAI, LLMs and the RAG framework
Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools

Job Responsibility

Build analytical tools to generate insight, recognise patterns and predict behaviour, and deliver content direct to users of information products
Work with technical teams, architects, designers, and administrators to overcome technical challenges
Take ownership of key initiatives to deliver results through an agile workflow
Design, test and build complex forecast models and simulations to identify causal links between customer behaviour and business opportunities and performance
Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science and GenAI
Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank
Leverage AWS services for data transformation, feature engineering, AI product development and deployment
Communicate complex technical ideas to stakeholders via data visualisation
Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects

What we offer

Health and wellness
Gain access to wellness rooms, gyms and mental health support
A place where you can belong
Our welcoming and inclusive culture supports you to bring your whole self to work, explore your potential and pursue your passions
Collaborative Areas
Modern spaces designed for teamwork and brainstorming
More than work
Be you. Be valued. Belong

Fulltime

Engineering Senior Manager

Citibank, N.A. seeks an Engineering Senior Manager for its Irving, Texas locatio...

Location

United States , Irving

Salary:

165600.00 - 175000.00 USD / Year

Citi

Expiration Date

August 04, 2026

Requirements

Bachelor degree or foreign equivalent in Information Technology, Computer Applications, Computer Science or related field
6 years of progressively responsible, post-baccalaureate experience as an Engineering Senior Manager, Engineering Lead Analyst, Architecture Lead Analyst, Architecture Senior Analyst, Consultant, Software Engineer or related position developing banking applications for a global financial services institution
Software Engineering and testing
Technology Project Management using Agile
Working with external consultants
Systems Administration
Data Analytics using SQL, Python
Jira, Confluence, Bitbucket, Tableau, Java/Spring Boot, REST APIs, Git (Bitbucket), JUnit, SonarQube, Jira, Confluence, Collaboration Platforms, Linux/Unix, Windows Server, VMware, VirtualBox, AWS, Grafana, Splunk, MySQL, PostgreSQL, Oracle, Pandas, NumPy, SciPy, Jupyter Notebooks, Tableau, Power BI, Machine learning frameworks (scikit-learn), Anaconda, VS Code, Jenkins

Job Responsibility

Drive end-to-end delivery of software tools-based solutions for business and technology teams, establishing modern architecture, and fostering engineering-centric operating models
Assist with the automation of software delivery, enhancing DevOps practices, and strategically modernizing developer toolchains and enterprise-level tooling
Oversee software development team functions to ensure optimal system performance and availability
Guide operations for development of data tool systems and facilitate the adoption of data-driven software development tools and Artificial Intelligence-based solutions
Govern application operations to ensure rigorous compliance with enterprise standards and information security, proactively identifying and mitigating risks
Manage prioritization and risk management, while guiding the Tools Data team, which includes product owners, developers, and testers
Utilize core development, collaboration, and visualization tools such as Jira, Confluence, Bitbucket, Tableau, Figma, GitHub, and Artificial Intelligence agentic development tools (DevinAI, Copilot,Cursor, Claudecode) to improve the efficiency of continuous integration, code delivery, enhance DevOps, boost productivity, and systematically resolve compliance issues
Ensure seamless integration and minimal disruption of business processes within managed tools
Lead the implementation of strategic technology stacks and conduct comprehensive project planning, including strategic and roadmap planning
Perform qualitative and quantitative analysis of tool usage data for labor, infrastructure, and license cost estimates

What we offer

medical
dental
vision coverage
401(k)
life insurance
accident insurance
disability insurance
wellness programs
paid time off packages including planned time off (vacation)
unplanned time off (sick leave)

Fulltime

Business Intelligence Applications Development Senior Programmer Analyst

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Engineering, or a related quantitative field
Minimum of 6-8 years of progressive professional experience in data engineering, business intelligence, or a related role
Proven expertise in designing, developing, and optimizing data warehouses, data lakes, and ETL processes using tools such as Apache Spark, DataBricks, AWS Glue, Azure Data Factory, or similar
Advanced proficiency in SQL and experience with relational and NoSQL databases (e.g., Snowflake, Redshift, PostgreSQL, MongoDB)
Expert-level experience with Tableau Desktop and Tableau Server, including dashboard design, data modeling, performance tuning, and administration
Strong understanding of data visualization best practices and principles
Experience with scripting languages like Python for data manipulation and automation
Familiarity with cloud platforms (AWS, Azure, GCP) and their data services
Excellent analytical, problem-solving, and communication skills with the ability to explain complex technical concepts to non-technical stakeholders
Ability to work independently and as part of a team in a fast-paced, agile environment

Job Responsibility

Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, transform, and load data from various sources into data warehouses and data lakes
Work closely with business stakeholders, data analysts, and other engineers to understand data requirements and translate them into technical specifications
Develop, test, and deploy high-quality, interactive, and visually appealing Tableau dashboards and reports that meet business needs
Optimize Tableau dashboards for performance, scalability, and usability, ensuring data accuracy and consistency
Manage and administer Tableau Server, including user permissions, data source connections, and performance monitoring
Implement data governance, security, and quality best practices across all data solutions
Troubleshoot and resolve data-related issues, performance bottlenecks, and reporting discrepancies
Provide technical guidance and mentorship to junior team members, fostering a collaborative and learning-oriented environment
Stay up-to-date with emerging data engineering and visualization technologies and recommend their adoption where appropriate

Fulltime

Business Intelligence Applications Development Programmer Analyst - Tableau

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Engineering, or a related quantitative field
Minimum of 6-8 years of progressive professional experience in data engineering, business intelligence, or a related role
Proven expertise in designing, developing, and optimizing data warehouses, data lakes, and ETL processes using tools such as Apache Spark, DataBricks, AWS Glue, Azure Data Factory, or similar
Advanced proficiency in SQL and experience with relational and NoSQL databases (e.g., Snowflake, Redshift, PostgreSQL, MongoDB)
Expert-level experience with Tableau Desktop and Tableau Server, including dashboard design, data modeling, performance tuning, and administration
Strong understanding of data visualization best practices and principles
Experience with scripting languages like Python for data manipulation and automation
Familiarity with cloud platforms (AWS, Azure, GCP) and their data services
Excellent analytical, problem-solving, and communication skills with the ability to explain complex technical concepts to non-technical stakeholders
Ability to work independently and as part of a team in a fast-paced, agile environment

Job Responsibility

Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, transform, and load data from various sources into data warehouses and data lakes
Work closely with business stakeholders, data analysts, and other engineers to understand data requirements and translate them into technical specifications
Develop, test, and deploy high-quality, interactive, and visually appealing Tableau dashboards and reports that meet business needs
Optimize Tableau dashboards for performance, scalability, and usability, ensuring data accuracy and consistency
Manage and administer Tableau Server, including user permissions, data source connections, and performance monitoring
Implement data governance, security, and quality best practices across all data solutions
Troubleshoot and resolve data-related issues, performance bottlenecks, and reporting discrepancies
Provide technical guidance and mentorship to junior team members, fostering a collaborative and learning-oriented environment
Stay up-to-date with emerging data engineering and visualization technologies and recommend their adoption where appropriate

Fulltime

Data Architect

The Data Architect supports the Missile Defense Agency (MDA) on the Integrated R...

Location

United States , Redstone Arsenal

Salary:

160000.00 - 210000.00 USD / Year

Amentum

Expiration Date

Until further notice

Requirements

Must have 10, or more, years of general (full-time) work experience
Must have 5, or more, years of directly related experience
Must have 1, or more, years of experience working in a management or leadership role
Must be proficient in SQL development, database administration, and both RDBMS (e.g., PostgreSQL, Oracle) and NoSQL (e.g., MongoDB, Cassandra) or equivalent
Must have a mastery of visualization tools like PowerBI, Tableau or equivalent to present complex data insights
Must have strong coding skills for automation and data manipulation like Python, Java, C/C++, Perl or equivalent
Must have experience with cloud platforms such as AWS, Azure, or Google Cloud
Must have an understanding of Machine Learning (ML), Natural Language Processing (NLP), and predictive modeling
Must be familiar with MBSE and incorporating AI into legacy systems to streamline data output
Must have an active DoD Secret Security Clearance

Job Responsibility

Designing, deploying, and managing an organization's data architecture to ensure it supports strategic mission goals and vision
Creating a supporting vision and blueprint for data management systems
Developing an overall short term (next 2 years) and long term (5-7 year) organizational data strategy aligned with business or mission processes the strategic mission goals
Designing conceptual, logical, and physical data models to guide data structure and flow
Coordinating and collaborating with cross-functional teams to integrate technical functionality and ensure data accessibility
Implementing and auditing security measures to protect data integrity and ensure compliance with governance policies
Planning and executing large-scale data solutions
Managing the end-to-end data lifecycle, from platform selection to testing and implementation

What we offer

Health, dental, and vision insurance
Paid time off and holidays
Retirement benefits (including 401(k) matching)
Educational reimbursement
Parental leave
Employee stock purchase plan
Tax-saving options
Disability and life insurance
Pet insurance

Fulltime

AWS Developer

Job Location: 100 North Greene Street, Greensboro, NC, 27401 Job Description D...

Location

United States , Greensboro

Salary:

Not provided

Wise Equation Solutions

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, computer information systems, information technology, relevant engineering (computer engineering, software engineering, electronic engineering or related) or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects

Job Responsibility

Design and architect scalable data pipelines using AWS Glue, Eventbridge, DynamoDB to process life insurance data including policy records, claims, actuarial datasets
Write and optimize ETL and reconciliation workflows using PySpark and Python to transform raw policyholder data into analytics-ready datasets for reporting and decision-making
Build and implement event-driven data solutions on AWS, leveraging SQS, SNS, and API integrations to enable real-time processing of insurance transactions and policy events
Implement snowflake data masking and row level security policies to ensure sensitive policyholder and beneficiary data is protected
Write and optimize DAX queries and PowerBI dataflows to connect directly to AWS Redshift and S3 data sources, ensuring actuarial, finance, and business teams have access to reliable and up-to-date life insurance dashboards for mortality analysis, and lapse reporting
Build python script in Dataiku code environment to develop data processing logic that meets life insurance business and regulatory requirements
Write and optimize ETL workflows using PySpark and Python to transform raw policyholder data into analytics-ready datasets for reporting and decision-making
Write SQL queries and stored procedures in Amazon redshift to support life insurance reporting, premium reconciliation, and claim analytics
Develop end-to-end data workflows in Dataiku, integrating life insurance data sources such as policy administration systems, claims databases and actuarial feeds
Write and optimize Delta Lake table implementations in Databricks to support efficient storage, ACID transactions, and time travel queries on life insurance datasets

Technical Support Engineer

With more than 45,000 employees and partners worldwide, the Customer Experience ...

Location

South Korea , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Technology (IT), or related field AND 3+ years of technical support, technical consulting experience, or information technology experience
OR 5+ years of technical support, technical consulting experience, or information technology experience
OR equivalent experience English Language: confident in reading, writing, and speaking
Demonstrated the ability to conduct thorough troubleshooting and debugging, and to solve complex problems
Track record in technical support or a similar customer-facing role within the technology sector
Thriving in a fast-paced, high-volume environment
You are very resourceful and great at prioritizing multiple demands, knowing when and how to prioritize tasks
Communication and senior stakeholder engagement skills, underpinned by an ability to communicate technical concepts to non-technical, senior business users with ease
Proficiency with Microsoft Power BI (Desktop application and the Service, and Gateway), or any other similar BI tool such as Tableau, SAS, Qlik, Sisense, Oracle Analytics Cloud, MicroStrategy or Microsoft Excel would be beneficial
Good understanding of SQL Server Analysis Services concepts, MDX, DAX and SQL Server Reporting Services

Job Responsibility

Response and Resolution: You own, investigate, and solve complex customer technical issues and act as an advisor to the customer, collaborating within and across teams, leveraging troubleshooting tools and practices
Readiness: You lead in building communities with peer delivery roles and share your knowledge through readiness programs, technical coaching and mentoring of others
You deepen your technical and professional proficiency to enable you to resolve complex customer issues, through training and readiness
Product/Process Improvement: You engage with Microsoft Engineering/ Supportability teams to investigate potential product defects and help develop automation techniques and diagnostic tools, driving Microsoft product improvements

Fulltime

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