This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a highly skilled Power BI Data Engineer who combines deep technical expertise in data engineering with exceptional data visualization abilities. This hands-on role requires someone who can architect robust data solutions while creating compelling, insight-driven dashboards that transform complex data into clear, actionable intelligence. This role is expected to interact directly with end users regarding requirements, testing, and implementation. This position is remote with preference to align to one of Legence’s office locations. Key Responsibilities - Power BI Development & Visualization - Create sophisticated, visually stunning Power BI dashboards and reports that drive business decisions. - Develop advanced DAX calculations, measures, and calculated columns to support complex analytical requirements. - Design intuitive, user-friendly interfaces with custom visuals, drill-through capabilities, and interactive features. - Implement dynamic report features including bookmarks, parameters, field parameters, and dynamic formatting. - Build composite models and leverage advanced features like aggregations, incremental refresh, and query folding. - Data Engineering & Architecture - Design, build, and maintain scalable data pipelines and ETL/ELT processes using Power Query, Dataflows, and Azure Data Factory. - Develop and optimize data models using star schema, snowflake schema, and other dimensional modeling techniques. - Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or similar platforms. - Write and optimize complex SQL queries, stored procedures, and database functions for performance and efficiency. - Establish data governance frameworks, including data quality checks, validation rules, and documentation standards. - Technical Implementation - Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control. - Implement row-level security (RLS) and object-level security (OLS) for data protection. - Optimize report performance through query optimization, data model refinement, and DAX tuning. - Integrate Power BI with various data sources including SQL databases, APIs, SharePoint, Excel, and cloud platforms. - Automate data refresh schedules and monitor gateway configurations. Qualifications - 3+ years of hands-on experience with Power BI development (Desktop, Service, and Report Server). - Expert-level proficiency in DAX (Data Analysis Expressions) and Power Query (M language). - Strong SQL skills with experience in database design, query optimization, and performance tuning. - Solid understanding of data warehousing concepts, dimensional modeling, and ETL principles. - Experience with data visualization best practices and UI/UX design principles. - Proficiency in Azure data services (Azure SQL Database, Synapse Analytics, Data Factory, or Fabric). - Deep understanding of data modeling techniques and relationships (one-to-many, many-to-many, bi-directional). - Strong grasp of statistical concepts and analytical methodologies. - Ability to translate complex business requirements into technical data solutions. - Experience with data quality assessment and data profiling. - Proven ability to create visually compelling, executive-level dashboards and reports. - Strong problem-solving skills with a hands-on, solution-oriented approach. - Excellent communication skills to explain technical concepts to non-technical stakeholders. - Detail-oriented with commitment to code quality and documentation. - Demonstrated ability to use AI and automation in software engineering. Preferred Qualifications - CS or CIS bachelor’s degree. - Microsoft certifications: PL-300 (Power BI Data Analyst), DP-203 (Data Engineer), or DP-500 (Enterprise Data Analyst). - Experience with Python or R for advanced analytics integration. - Familiarity with Git/Azure DevOps for version control and CI/CD pipelines. - Knowledge of DAX Studio, and other Power BI development tools. - Experience with Power BI Embedded or custom API development. - Understanding of data science concepts and predictive analytics. Technical Environment - Power BI Desktop, Power BI Service, Power BI Premium/Fabric. - SQL Server, Azure SQL Database, Azure Synapse Analytics. - Azure Data Factory, Azure Data Lake Storage. - DAX Studio, Tabular Editor, Power Query. - Git/Azure DevOps for version control. Benefits - 401(k) Plan with Company Match: Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting. - Health & Welfare Benefits: Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage. - Life and Disability Insurance: Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy up for additional coverage. - Time Off: Flexible non-accrual vacation; company holidays per policy. - Expenses: Business travel and related expenses reimbursed per company policy.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 3 Key Consulting is hiring an Associate Engineer, Drug Product Manufacturing Data Analysis for a consulting engagement with our direct client, a leading global biopharmaceutical company. - Remote but preferably someone who is located near Thousand Oaks or Cambridge sites for occasional onsite. - Dayshift 8AM - 5PM. - Implementation/enhancement of digital systems and automated analysis/visualization tools (Spotfire) that are utilized for streamlining data management and data monitoring. - Data extraction, verification, analysis, and technical reports for process monitoring. - Supporting investigations of adverse signals identified through process data monitoring. - Integration of new products and processes to data monitoring business process and quality management system. - Support for other ad hoc studies and projects as applicable (e.g. technology transfers of processes to new sites). Qualifications - Some industry experience through internship or research projects with a bachelor's degree. - Educational background in engineering, data sciences, biology, chemistry, or related discipline. - Drug product experience in Fill finish or inspection. - Experience with Excel, statistical process control, Spotfire, or Tableau. - Manufacturing experience; strongly preferable for this experience to be in drug product/pharmaceutical field. - Manufacturing experience in other fields may also be considered, depending on relevance of skills involved and transferability/applicability to this position. - Experience with data entry, verification, analysis, and/or data management IS systems. Requirements - Bachelor degree OR Associate degree and 4 years of experience OR High school diploma / GED and 6 years of experience. Red Flags - Lack of consistency, focus, or direction (in terms of career trajectory and interests). - Lack of clear interest in or motivation for taking on this specific role. Interview Process - Preliminary phone interview. - Team video interview. Benefits - Pay Rate: $32 - $35/hour W2. - Duration: 1+ year (with likely extensions and/or conversion to permanent).

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Data Engineer, you will help us build our information system, which is used by our staff globally. The RISE mission is to accelerate the internet for the Philippines—we do this by focusing on the overall customer experience, providing excellent internet services and creating a positive impact on our partners and industry. - Analyze and develop solutions to information needs in our business - Design, develop, deploy, and test new information and data processing applications in accordance to our quality standards - Perform preventive maintenance, identify and execute improvements, and refactor existing code base, including our legacy applications - Monitor, respond, and resolve incidents in production - Develop and maintain the infrastructure that hosts our applications in production - Support our internal staff and stakeholders’ inquiries and issues with the applications in use - Investigate and create proofs of concepts, such as in using external services, APIs, programming libraries, and data source systems - Contribute to the development of user guides and knowledge base of applications in use Qualifications - Bachelor’s degree in Information Technology or Computer Science - 3+ years of experience in software engineering, using any of the following programming languages: Ruby, Javascript, Python, and PHP - Proficiency in developing scripts and applications for data ETL and reporting purposes - Proficiency in standard software engineering practices (i.e. source code management, continuous integration, automated tests, pair programming) - 2+ years experience in end-to-end IT management - Proficiency and hands-on experience with implementing, configuring, and testing IT solutions - Experience in using cloud services and APIs, preferably with Amazon Web Services (AWS) - Administration and shell usage of Linux-based systems (CentOS, Ubuntu) - Highly customer-focused and able to provide a positive experience in conflict resolution - Excellent communication skills and able to effectively convey messages or know-how to non-technical customers - Highly dependable and responsive especially in urgent or time-sensitive situations - Able to maintain a high level of integrity and confidentiality Benefits - An environment of a sports team that is there to coach each other while being performant. - A data and software culture that strives to build high quality IT systems. - An organization of autonomous teams, exploring and trying out solutions in a safe environment. - A place for you to learn, practice, develop yourself, and contribute to something meaningful. - A front seat at a fast growing, global company with a lot of opportunities in software, IT, and technology with exposure in telecommunications and web. - Flexibility and a wide array of health and well-being incentives to keep you balanced. - An opportunity to work with some of the best and smartest people around. Privacy Statement Synacy/RISE is committed to protecting your personal information. Your information will be collected, used and may be shared by Synacy/RISE with third party service providers to serve lawful purposes, for Synacy/RISE recruitment process, including processing of data by third party when required. Your information shall be held only as long as necessary to achieve the purpose for which it is collected. The use and transfer of your information will be strictly in accordance with the applicable data privacy law and in line with our privacy policy available at Synacy/RISE Privacy Policy. Further, by clicking Apply, you agree and acknowledge that you have read Synacy/RISE’s privacy policy and fully understand your rights to access, correct or withdraw your information anytime.

Senior Data Conversion Engineers ensure that the data conversions are delivered to customers on time and to the required quality standards. Through the execution of technical and administrative tasks, the Engineer works with the customer and trainer to deliver data conversions according to specifications. This position will work cooperatively with the Implementation Specialist to complete data Conversion as outlined within the workflow for the customer. This role requires a strong background in project management and advanced troubleshooting and problem-solving skills. Essential Duties & Responsibilities - Work cooperatively with the Implementation Specialist to complete data conversion as outlined within the workflow for the customer - Complete assigned tasks as outlined in the customer’s project plan and/or as outlined by the Project Manager and/or Implementation Specialist - Convert data from customers legacy system into new system based on required quality standards - Respect the end user’s knowledge and sentiment during all interactions - Provide accurate and appropriate feedback/reporting regarding the data integrity - Respond and/or monitor customer issues reported by Deployment Specialists or directly reported by customers during the deployment period - Assist the Project Manager in completing all deployment scheduling and pre‐assessment activities