data warehouse consultant

Qode

<div>Job Title: Oracle Analytics Cloud (OAC) Consultant
Company: ITHR Technologies Consulting LLCLocation: Riyadh, Saudi ArabiaExperience: 12+ YearsJoining: Within 45 Days
About ITHR Technologies Consulting LLC
ITHR Technologies Consulting LLC is a global technology consulting and services company specializing in enterprise digital transformation, Oracle Cloud solutions, data analytics, and enterprise integration services. We help organizations modernize their business processes and unlock the value of data through innovative cloud-based solutions.
Role Overview
ITHR Technologies is looking for an experienced Oracle Analytics Cloud (OAC) Consultant with strong expertise in ETL design, data warehousing, and Oracle data integration technologies. The candidate will be responsible for designing and implementing enterprise analytics solutions using Oracle Analytics Cloud and Oracle Data Integrator (ODI) while working closely with business stakeholders and technical teams.
Key Responsibilities
Design and develop Oracle Analytics Cloud (OAC) dashboards, reports, and data visualizations.Develop and optimize ETL pipelines using Oracle Data Integrator (ODI) or similar ETL tools.Design and implement enterprise data warehouse architectures and data models.Integrate data from Oracle Fusion / ERP data sources into analytics platforms.Perform data transformation, performance tuning, and optimization of ETL processes.Collaborate with business stakeholders to gather and translate analytics requirements.Ensure data accuracy, governance, and quality standards in analytics solutions.Support deployment, testing, and ongoing enhancement of analytics solutions.
Required Skills &amp; Experience
12+ years of relevant experience in data analytics, BI, and ETL development.Strong hands-on experience with Oracle Analytics Cloud (OAC).Expertise in Oracle Data Integrator (ODI) or similar ETL tools.Proven experience in data warehouse design and data modeling.Experience integrating with Oracle Fusion / ERP data sources.Strong understanding of data transformation, ETL optimization, and performance tuning.Ability to work in a client-facing consulting environment.
Preferred Qualifications
Experience with Oracle Cloud ecosystem.Knowledge of BI best practices and enterprise reporting frameworks.Strong communication and stakeholder management skills.
Location
Riyadh, Saudi Arabia</div>

Oracle Analytics Cloud (OAC) Consultant

NavitasPartners

<div><h3 class="jobSectionHeader">Job Title: Senior BI Consultant (Power BI)</h3>

Location: Everett, MA (Hybrid &ndash; 1 day onsite per week) 
Duration: 6 Months 
Work Schedule: 37.5 hours/week (7.5 hours/day)

<h3 class="jobSectionHeader">Position Overview</h3>

&quot;Navitas Partners, LLC&quot; is seeking an experienced Senior BI Consultant / Power BI Developer to support ongoing data warehouse and analytics initiatives. This role focuses on designing, developing, and maintaining business intelligence solutions using Microsoft technologies, particularly Power BI.

The ideal candidate is highly analytical, experienced in enterprise BI environments, and capable of collaborating with cross-functional teams to deliver scalable reporting and data visualization solutions.

<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul>
<li>Design and develop reporting solutions using Microsoft Power BI
</li>
<li>Migrate legacy SSRS reports to Power BI Report Server
</li>
<li>Build, maintain, and optimize dashboards and data models
</li>
<li>Collaborate with data engineering, analytics teams, and stakeholders
</li>
<li>Translate business requirements into technical BI solutions
</li>
<li>Implement data visualization best practices and standards
</li>
<li>Optimize report performance and usability
</li>
<li>Support and enhance existing BI solutions
</li>
<li>Participate in data warehouse and reporting modernization efforts
</li>
<li>Develop enterprise BI models using tools like SSAS, AAS, and dataflows
</li>
<li>Design and maintain cubes, metadata, and reporting layers
</li>
<li>Enable ad-hoc reporting for large datasets
</li>
<li>Create technical documentation across the development lifecycle
</li>
<li>Mentor junior developers and contribute to team knowledge sharing
</li>
<li>Monitor BI systems for performance and usage metrics
</li>
</ul><h3 class="jobSectionHeader">Required Qualifications</h3>
<ul>
<li>Bachelor&rsquo;s degree or equivalent experience in a technical field
</li>
<li>5+ years of experience in:
<ul>
<li>Power BI development (reports, dashboards, scorecards)
</li>
<li>SQL and writing efficient queries
</li>
</ul></li><li>Strong experience with:
<ul>
<li>Power BI data connections and transformations
</li>
<li>Data modeling and visualization best practices
</li>
<li>SSRS, SSIS, and ETL processes
</li>
</ul></li><li>Experience working with:
<ul>
<li>SQL Server and Oracle databases
</li>
<li>SSAS (Tabular Models)
</li>
<li>Data warehouse and data mart architectures
</li>
</ul></li><li>Solid understanding of:
<ul>
<li>OLAP concepts and data analytics frameworks
</li>
</ul></li><li>Strong problem-solving and analytical skills
</li>
<li>Excellent communication and collaboration abilities
</li>
<li>Ability to manage multiple priorities in a fast-paced environment
</li>
<li>Proven ability to work independently with minimal supervision
</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul>
<li>Experience with cloud platforms (e.g., Azure)
</li>
<li>Familiarity with Agile development methodologies
</li>
<li>Knowledge of dimensional modeling (fact/dimension, star schema)
</li>
<li>Experience with additional BI tools (e.g., Cognos)
</li>
<li>Power BI Certification is a plus
</li>
<li>Strong team collaboration mindset with a proactive approach
</li>
</ul><h3 class="jobSectionHeader">Key Skills</h3>

Power BI | SQL | SSRS | SSIS | SSAS | AAS | ETL | Data Modeling | Data Warehousing | OLAP | Azure | Data Visualization | Dashboard Development

For more details reach at resumes@navitassols.com

About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing Technical / IT staffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.</div>

Senior BI Consultant (Power BI) - 26-02719

Al Adyat consultancy

Job Overview:The Data Warehouse Expert will lead the data management, integration, governance, and operations workstreams of the Plant Data Management (PDM) project &ndash; a strategic &ldquo;Smart Plant&rdquo; initiative to create a single source of truth for all critical engineering and production data. This senior role requires a seasoned professional with at least 10 years of experience in data management in the oil &amp; gas industry. A strong background in Microsoft data warehousing technologies and an understanding of plant operational processes are essential for successKey Responsibilities:<ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment architecture, data standards, &amp; operational requirements.</li><li>Lead the implementation of single source of truth, focusing on MS technologies including Azure, Microsoft 365, MSSQL, &amp; Power Platform in collaboration with implementation partners.</li><li>Collaborate with the solution enterprise architect to make sure the data warehouse design aligns with the overall solution architecture and IT infrastructure.</li><li>Lead the central repository architecture for integrated data from multiple sources (e.g. SAP, real-time systems, spreadsheets) in line with the PDM project requirements</li><li>Define the data models (schemas, tables, cubes) and storage strategy (on-premises MS SQL Server with potential hybrid cloud) to support reporting and analytics.</li><li>Ensure the configuration of ETL/ELT pipelines (using Microsoft SSIS or Azure Data Factory) to extract data from source systems, transform it, and load it into the warehouse.</li><li>Establish a robust data governance framework within the PDM scope, defining data ownership for different data domains (ensuring business stakeholders are identified as data owners), set up data stewardship roles if needed, and enforce policies for data usage, retention, and lifecycle management.</li><li>Enforce compliance with the company&rsquo;s cybersecurity and data privacy policies</li><li>Work to achieve high availability of the data platform. Implement redundancy and failover mechanisms as appropriate (clustering, backups, mirrored databases, etc.). Ensure disaster recovery plans are in place</li><li>Develop and implement data governance policies, standards, and procedures.</li><li>Collaborate with data owners and stewards to define data definitions, classifications, and quality rules.</li><li>Monitor data quality metrics and lead initiatives to resolve data issues.</li><li>Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal policies.</li><li>&sect; Maintain data catalogs, metadata repositories, and data lineage documentation.</li><li>Support data governance tools and platforms, ensuring proper configuration and usage.</li><li>Conduct training and awareness programs to promote data governance best practices.</li><li>Design and implement frameworks that enable secure, self-service access to data across departments.</li><li>Promote data literacy by developing training materials and conducting workshops on data usage and governance.</li><li>Support the deployment and adoption of data catalog and self-service BI tools.</li><li>Define and manage role-based access controls to balance data accessibility with security.</li><li>Act as a liaison between IT, data teams, and business stakeholders to and ensure relevant data is discoverable and usable.</li><li>Participate in data governance councils and cross-functional working groups, to align data strategy with business goals.</li><li>Provide guidance on data stewardship responsibilities and best practices.</li></ul>Required Qualifications:Educational Background:<ul><li>Bachelor&rsquo;s degree in Information Management, Computer Science, Business, or a related field.</li><li>3+ years of experience in data governance, data management, or a related discipline.</li><li>Strong understanding of data governance frameworks.</li><li>Familiarity with data privacy laws and regulatory requirements.</li><li>Experience with data governance.</li><li>Excellent communication, collaboration, and problem-solving skills.</li><li>Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul>Expected Experience<ul><li>10+ years of experience in data management roles, including data warehouse development, system integration, and IT project management.</li><li>5+ Experience must be in the oil &amp; gas industry, dealing with industrial or enterprise data.</li></ul>Technical Skills<ul><li>Deep expertise in Microsoft Data Warehouse technologies &ndash; MS SQL Server, SQL Server Integration Services (SSIS) for ETL, SQL Server Analysis Services (SSAS) for OLAP, and SQL querying/tuning</li><li>Strong knowledge of relational and dimensional data modeling. Ability to design normalized schemas for staging and integration, as well as star/snowflake schemas for analytics.</li><li>Experience with handling large datasets (hundreds of gigabytes to terabytes) efficiently (partitioning, indexing strategies, etc.)</li><li>Hands-on experience integrating multiple systems and platforms Microsoft BizTalk, SAP, &amp; SharePoint online.</li><li>Experience implementing data governance policies and using tools for data quality and metadata management</li><li>Proficient in project management practices</li><li>Certified Data Management Professional (CDMP)</li><li>Data Governance and Stewardship Professional (DGSP)</li><li>Certified Information Privacy Professional (CIPP)</li></ul>Soft Skills:<ul><li>Excellent analytical and research skills.</li><li>Strong communication skills to collaborate with cross-functional teams.</li><li>Strong presentation skills</li></ul>Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Warehouse : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in Information Management, Computer Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

Data Warehouse Expert

Visa

<div>Company Description 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters &mdash; to you, to your community, and to the world.
Progress starts with you. 
Job Description 
As a Senior Consultant Data Engineer, you'll join our Value Added Services &ndash; Digital Marketing &amp; Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily.
You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services, RESTful APIs, and container-based distributed services. These services are designed to be highly available, secure, scalable, and resilient. 
You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days. 
This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. It demands proficiency in containerization technologies like Docker and Kubernetes, expertise in Java, Spring Boot, React, and both relational and non-relational databases. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role.
If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you
Essential Functions:<ul><li>
You&rsquo;ll be the face of the team representing us in various technical forums.</li><li>
You&rsquo;ll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value.</li><li>
You&rsquo;ll analyze business requirements and architect highly secure, robust, and scalable solutions.</li><li>
You&rsquo;ll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement.</li><li>
You&rsquo;ll champion efforts to architect, design and implement various components of our global transaction processing systems.</li><li>
Your DNA will include following and creating software best practices and processes.</li><li>
You&rsquo;ll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability.</li><li>
You&rsquo;ll play key role in meetings and discussions with cross-functional and non-technical teams.</li></ul>
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 
Qualifications 
Basic Qualifications: 
8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD 
 
Preferred Qualifications: 
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD 
Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications. 
Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. 
Deep experience in Java, with experience in REST APIs, container-based technologies, and implementing containerization strategies using Docker and Kubernetes. 
Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. 
Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. 
Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker, K8s). 
Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. 
Strong experience with UI technologies, including Redux, React.js, HTML5, CSS4, and jQuery/JavaScript standards. 
Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases. 
Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. 
Ability to manage component security analysis and collaborate with security teams. 
Strong work ethic, focus on immediate goals, and proven experience as a technical leader. 
Passion for mentoring juniors and helping them reach new heights. 
Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. 
Excellent communication and interpersonal skills, and a strong team player. 
Additional Information 
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for this position is 152,200 to 243,700 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.</div>

Data Engineer - Sr. Consultant level

<div><div>Location: Anywhere in Country 
At EY, we&rsquo;re all in to shape your future with confidence. 
We&rsquo;ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.</div><div></div><div> 
Technology &ndash; Data and Decision Science &ndash; Data Engineering &ndash; Manager</div><div></div> 
We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills.<div></div><div> 
The opportunity:</div><div>
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include:</div><ul><li>
Understanding and analyzing business requirements to translate them into technical requirements.</li><li>
Designing, building, and operating scalable data architecture and modeling solutions.</li><li>
Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.</li></ul><div></div> 
Key Responsibilities:<div>
As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:</div><ul><li>
Leading workstream delivery and ensuring quality in all processes.</li><li>
Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.</li><li>
Implementing resource plans and budgets while managing engagement economics.</li></ul><div></div><div> 
This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.</div><div></div><div> 
Skills and attributes for success:</div><div>
To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:</div><ul><li>
Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).</li><li>
Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.</li><li>
Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.</li><li>
Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.</li><li>
Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.</li><li>
Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.</li><li>
Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.</li><li>
Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.</li><li>
Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.</li><li>
Strong analytical and problem-solving abilities.</li><li>
Excellent communication skills, with the ability to convey complex information clearly.</li><li>
Proven experience in managing and delivering projects effectively.</li><li>
Ability to build and manage relationships with clients and stakeholders.</li></ul><div></div><div> 
To qualify for the role, you must have:</div><ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or a related field required; Master&rsquo;s degree preferred.</li><li>
Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.</li><li>
Proven expertise in Databricks and experience with Spark for big data processing.</li><li>
Strong background in data architecture and design, with experience in building complex cloud analytics solutions.</li><li>
Experience in leading and managing teams, with a focus on mentoring and developing talent.</li><li>
Strong programming skills in languages such as Python, Scala, or SQL.</li><li>
Excellent problem-solving skills and the ability to work independently and as part of a team.</li><li>
Strong communication and interpersonal skills, with a focus on client management.</li></ul><div></div> 
Required Expertise for Managerial Role:<ul><li>
Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.</li><li>
Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.</li><li>
Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.</li><li>
Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.</li><li>
Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.</li><li>
Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.</li><li>
Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.</li></ul> 
Large-Scale Implementation Programs:<ul><li>
Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities.</li><li>
Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.</li><li>
Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.</li></ul><div> 
Ideally, you&rsquo;ll also have:</div><ul><li>
Experience with advanced data analytics tools and techniques.</li><li>
Familiarity with machine learning concepts and applications.</li><li>
Knowledge of industry trends and best practices in data engineering.</li><li>
Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.</li><li>
Knowledge of data governance and compliance standards.</li><li>
Experience with machine learning frameworks and tools.</li></ul><div></div><div> 
What we look for:</div><div>
We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you.</div><div></div><div> 
FY26NATAID</div><div> 
What we offer you 
At EY, we&rsquo;ll develop you with future-focused skills and equip you with world-class experiences. We&rsquo;ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.<ul><li>
We offer a comprehensive compensation and benefits package where you&rsquo;ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.</li><li>
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.</li><li>
Under our flexible vacation policy, you&rsquo;ll decide how much vacation time you need based on your own personal circumstances. You&rsquo;ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.</li></ul> 
Are you ready to shape your future with confidence? Apply today. 
EY accepts applications for this position on an on-going basis. 
For those living in California, please click here for additional information. 
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. 
EY | Building a better working world 
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. 
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. 
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. 
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. 
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY&rsquo;s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.</div></div>

Databricks Data Engineer - Manager - Consulting - Miami

<div><h3 class="jobSectionHeader">Job Title: Senior BI Consultant</h3>
<h3 class="jobSectionHeader">Location: Everett, MA 02149 (Hybrid &ndash; 1 day onsite/week)</h3>
<h3 class="jobSectionHeader">Duration: 6 Months Contract</h3>
<h3 class="jobSectionHeader">Work Hours: 37.5 hours/week (7.5 hours/day)</h3>
<h3 class="jobSectionHeader">Job Summary:</h3>

We are seeking a highly skilled Senior BI Consultant to support multiple data warehouse and analytics initiatives. The ideal candidate will bring strong expertise in data visualization, report development, and business intelligence solutions, primarily using Microsoft Power BI and related technologies.

This role involves designing, developing, and maintaining reporting solutions, as well as collaborating with cross-functional teams to deliver high-quality analytics products that meet business needs.

<h3 class="jobSectionHeader">Key Responsibilities:</h3>
<ul>
<li>Migrate existing SSRS reports to Power BI Report Server
</li>
<li>Design and develop reporting solutions using Microsoft Power BI
</li>
<li>Provide expertise in data visualization and dashboard design
</li>
<li>Participate in modernization and migration projects to Power BI
</li>
<li>Define and follow Power BI development best practices
</li>
<li>Collaborate with product owners, project managers, and technical teams to gather and implement requirements
</li>
<li>Optimize and enhance Power BI reports and dashboards for performance and usability
</li>
<li>Maintain and support existing BI solutions
</li>
<li>Stay updated on industry trends and Microsoft Azure-based BI technologies
</li>
<li>Mentor junior developers and provide technical guidance
</li>
<li>Develop monitoring systems to track usage and ensure system stability
</li>
<li>Create and maintain documentation throughout the software development lifecycle
</li>
<li>Analyze business requirements and provide technical solutions and development estimates
</li>
<li>Build and support enterprise data models using Power BI, SSAS, AAS, and dataflows
</li>
<li>Design and develop cubes, metadata, and reporting layers
</li>
<li>Implement solutions for ad-hoc reporting on large datasets
</li>
<li>Work with data lake and warehouse architectures
</li>
</ul><h3 class="jobSectionHeader">Minimum Qualifications:</h3>
<ul>
<li>Bachelor&rsquo;s degree or at least 3+ years of relevant technical experience
</li>
<li>5+ years of experience developing complex reports, dashboards, and scorecards
</li>
<li>5+ years of advanced experience with Microsoft Power BI
</li>
<li>5+ years of strong SQL experience with efficient query writing skills
</li>
<li>2+ years of experience with other BI tools (e.g., Cognos)
</li>
<li>Experience working with multiple data sources such as Oracle and SQL Server
</li>
<li>Strong data analysis and problem-solving skills
</li>
<li>Solid understanding of data modeling concepts
</li>
<li>Experience building SSAS tabular models
</li>
<li>Experience with Power BI data transformation and modeling
</li>
<li>Knowledge of SSRS and SSIS
</li>
<li>Understanding of OLAP and ETL frameworks
</li>
<li>Ability to manage multiple priorities and meet deadlines
</li>
<li>Excellent communication and collaboration skills
</li>
<li>Ability to work independently with minimal supervision
</li>
<li>Strong attention to detail and time management skills
</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications:</h3>
<ul>
<li>Experience with cloud technologies (e.g., Azure)
</li>
<li>Familiarity with Agile methodologies
</li>
<li>Experience with dimensional modeling (fact/dimension, star schema)
</li>
<li>Power BI Certification (preferred)
</li>
<li>Strong team collaboration and communication skills
</li>
</ul>For more details reach at ndogra@navitassols.com.</div>

Senior BI Consultant - SBIC 26-02719

Architecture In Motion

<div>Power BI Consultant

Location: Remote

Job Type: Contract

About AIM

AIM is a Canadian technology company that helps organizations modernize their systems through advanced API management, cloud engineering, security solutions, and full-stack software development. Our teams work across North America and globally, delivering stable, scalable, and secure digital platforms for enterprise clients.

We take pride in being hands-on, collaborative, and focused on delivering real results for our clients. As we grow, we are expanding our marketing team to strengthen our brand presence and support our next stage of growth. 


Role Summary

We&rsquo;re looking for a hands‑on Power BI Consultant to design, model, and deliver high‑performance BI solutions. You will translate business requirements into robust semantic models, efficient DAX measures, and impactful dashboards, while ensuring governance, performance, and security in Power BI Service.

Key Responsibilities
<ul>
<li>Engage stakeholders to capture requirements and convert them into BI specifications and data models.</li>
<li>Design star/snowflake models with conformed dimensions and surrogate keys.</li>
<li>Build optimized DAX (time intelligence, iterator patterns, context transition) and reusable calculation logic.</li>
<li>Develop ETL/ELT using Power Query (M), Dataflows, and SQL; implement incremental refresh and partitions.</li>
<li>Choose and justify Import vs. DirectQuery vs. Composite based on latency, volume, and SLA.</li>
<li>Publish and manage content in Power BI Service (Workspaces, Apps, Dataflows, Gateways, Deployment Pipelines).</li>
<li>Implement Row‑Level Security (RLS) / Object‑Level Security (OLS) and workspace governance.</li>
<li>Optimize models and reports (cardinality reduction, aggregations, query folding, Performance Analyzer, DAX Studio).</li>
<li>Create executive and operational dashboards with drill‑through, tooltips, bookmarks, and KPI storytelling.</li>
<li>Partner with data engineering (SQL/Azure/Fabric) on pipelines, Lakehouse/Warehouse, and data quality.</li>
<li>Maintain documentation: data dictionary, lineage, refresh SLAs, and runbooks.</li>
<li>Support production, monitor refreshes/capacity, and drive continuous improvement and user enablement.</li>
</ul>
Required Qualifications
<ul>
<li>3&ndash;6+ years building end‑to‑end Power BI solutions (modeling, DAX, visuals, deployment).</li>
<li>Strong SQL (CTEs, window functions, query tuning).</li>
<li>Advanced DAX (CALCULATE, filter context, iterators, time intelligence).</li>
<li>Solid Power Query (M) with understanding of query folding.</li>
<li>Proven experience with RLS/OLS, incremental refresh, DirectQuery/Composite models.</li>
<li>Proficiency with Power BI Service (Workspaces, Apps, Dataflows, Gateways, Deployment Pipelines).</li>
<li>Performance tuning using Performance Analyzer and DAX Studio / VertiPaq Analyzer.</li>
<li>Clear communication and stakeholder management skills.</li>
</ul>
Nice to Have
<ul>
<li>Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2) or Azure (Synapse, Data Lake, Databricks, ADF).</li>
<li>Tabular modeling tools (Tabular Editor, TOM/TMSL, calculation groups).</li>
<li>CI/CD for BI (Git, Azure DevOps, Deployment Pipelines).</li>
<li>Python/R for analytics; Power Automate integration.</li>
<li>Certification: PL‑300 (or equivalent).</li>
</ul>
Tools &amp; Stack

Power BI Desktop &amp; Service, DAX Studio, Tabular Editor, SQL Server/Azure SQL, Power Query (M), Fabric/Synapse (nice‑to‑have), Git/DevOps, Excel (Power Pivot). 
Work Schedule

Ability to wrk on Eastern Time Zone, Remotely.

Equal Opportunity

We value diversity and provide equal opportunities without regard to religion, gender, age, disability, or national origin.</div>

Power BI Consultant

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