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McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 Looking to hire a Data Engineer at the G4 level who has a deep understanding of Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support the Brand Marketing / Menu function with a specific focus on the Menu Data product and initiatives. As a Data Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted Menu data, supports decision-making, and partners with business and technology teams to deliver scalable data solutions that drive insights into menu performance, customer preferences, and marketing effectiveness. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable Menu data products that support menu and marketing Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
 </li>
 <li>
 Participates in new software development engineering and Lead data engineering initiatives supporting Product Mix Analytics, ensuring timely and accurate delivery of marketing and menu-related products.
 </li>
 <li>
 Work closely with the Product owner and help to define business rules that determines the quality of Menu datasets.
 </li>
 <li>
 Drive and implement best practices for pipeline development, data governance, data security and quality across marketing and menu-related datasets.
 </li>
 <li>
 Ensure scalability, maintainability, and quality of data systems powering menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving Product Mix analytics needs.
 </li>
 <li>
 Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
 </li>
 <li>
 Mentor and coach junior data engineers, particularly in areas related to menu item tracking, promotion data, and marketing analytics.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 Leads teams to drive scalable data engineering practices and technical excellence within the Menu Data ecosystem.
 </li>
 <li>
 Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
 </li>
 <li>
 5+ years of professional experience in data engineering or related fields
 </li>
 <li>
 Proficiency in Python, Java, or Scala for data processing and automation
 </li>
 <li>
 Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
 </li>
 <li>
 Expert knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
 </li>
 <li>
 Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
 </li>
 <li>
 Proven ability to mentor team members and lead technical initiatives across multiple workstreams
 </li>
 <li>
 Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
 </li>
 <li>
 Demonstrated experience in data management &amp; data governance capabilities
 </li>
 <li>
 Familiarity with data warehousing principles and best practices.
 </li>
 <li>
 Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
 </li>
 <li>
 Excellent collaboration skills to work effectively in cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Data Engineer III [T500-20271]

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
 </li>
 <li>
 Participates in new software development and data engineering initiatives supporting Finance Analytics, ensuring timely and accurate delivery of financial data products.
 </li>
 <li>
 Drive and implement best Data Engineering practices for pipeline development, data governance, data security and quality across financial datasets.
 </li>
 <li>
 Implement security and privacy controls in data workflows, ensuring compliance with finance regulatory requirements.
 </li>
 <li>
 Monitor, troubleshoot, and improve performance and reliability of existing finance data pipeline infrastructure.
 </li>
 <li>
 Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving financial analytics needs.
 </li>
 <li>
 Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
 </li>
 <li>
 Partner and collaborate with data engineers, particularly in finance-centric data models and processing frameworks.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 
 Applies technical data engineering expertise to develop reliable pipelines and improve data quality in support of finance and analytics initiatives
 
 <ul>
 <li>
 Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
 </li>
 <li>
 3+ years of professional experience in data engineering or related fields
 </li>
 <li>
 Proficiency in Python, Java, or Scala for data processing and automation
 </li>
 <li>
 Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
 </li>
 <li>
 Good working knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
 </li>
 <li>
 Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
 </li>
 <li>
 Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
 </li>
 <li>
 Demonstrated experience in data management &amp; data governance capabilities
 </li>
 <li>
 Familiarity with data warehousing principles and best practices.
 </li>
 <li>
 Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
 </li>
 <li>
 Excellent collaboration skills to work effectively in cross-functional teams
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work hours:
 
 
 
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
</div>

Data Engineer II [T500-20274]

ValueMomentum

<div>
 
 Job Title:
 
 AI/ML Lead
 
 
 
 Job ID:
 
 POS-16044
 
 
 
 Primary Skill:
 
 AWS Services
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Experience:
 
 9.00
 
 
 
 Secondary Skills:
 
 GenAI, Langchain,LLMs, and RAG
 
 
 
 Job Location:
 
 Hyderabad
 
 
 
 Mode of Work:
 
 Work From Office
 
 
 
 Experience
 
 
 :
 
 7-12 Years
 
 
 
 About The Job
 
 
 
 We are seeking an AI Architect to join their team in Erie, PA. We are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise and act as Lead Engineer. We are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows).
 
 
 
 Know Your Team
 
 
 
 At ValueMomentum&rsquo;s Technology Solution Centers, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through a strong engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas:
 
 Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance
 
 .
 
 
 Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and development of an Agentic AI platform
 </li>
 <li>
 Architect and implement core systems for agent-based AI workflows
 </li>
 <li>
 Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems,
 </li>
 <li>
 Develop and optimise ML models, pipelines, and orchestration logic
 </li>
 <li>
 Ensure the integration and compatibility of network, IDAM (Identity and Access Management), Active Directory, key vaults, and other security-related components within the self-service platform.
 </li>
 <li>
 Provide technical leadership and guidance to development teams on leveraging the self-service platform for their AI-based initiatives.
 </li>
 <li>
 Collaborate with stakeholders to define key performance indicators (KPIs) and establish metrics for measuring the effectiveness and adoption of the self-service platform with improved developer experience.
 </li>
 <li>
 Stay abreast of industry trends, best practices, and regulatory requirements related to cloud computing, DevOps, network, security, and platform modernisation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s / master&rsquo;s degree in computer science, Engineering, or a related field (or equivalent work experience).
 </li>
 <li>
 Programming Languages: Proficiency in Python is essential.
 </li>
 <li>
 Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
 </li>
 <li>
 Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems
 </li>
 <li>
 Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)
 </li>
 <li>
 Cloud Platforms: Familiarity with AWS
 </li>
 <li>
 Data Engineering: Proficiency in data preprocessing and feature engineering
 </li>
 <li>
 Version Control: Experience with GitHub for version control
 </li>
 <li>
 Data Science Practices: Skills in building models, testing/validation, and deployment
 </li>
 <li>
 Collaboration: Experience working in an Agile framework
 </li>
 <li>
 RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search
 </li>
 <li>
 Understanding of AWS services such as EC2, S3, VPC, IAM, Lambda, API Gateway, and others.
 </li>
 <li>
 Knowledge in infrastructure as code (IaC) tools such as Terraform,.
 </li>
 <li>
 Understanding of cloud security best practices, compliance standards, and governance frameworks.
 </li>
 <li>
 Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless computing.
 </li>
 <li>
 Experience with DevOps practices, including CI/CD pipelines, configuration management, and automated testing.
 </li>
 <li>
 Experience in network architecture, IDAM (Identity and Access Management), Active Directory, key vaults, and other network and security-related components.
 </li>
 <li>
 Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
 </li>
 <li>
 Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.
 
 
 </li>
 </ul>
 
 About The Company
 
 
 
 ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry.
 
 
 
 Benefits
 
 
 
 We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
 
 
 <ul>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.
 </li>
 <li>
 Comprehensive training and certification programs.
 </li>
 <li>
 Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.
 </li>
 </ul>
</div>

AI/ML Lead

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 Looking to hire a Senior Engineer at the G5 level who has a deep understanding of Data Product Lifecycle, Standards and Practices. Will be responsible for building scalable and efficient data solutions to support the Finance, Franchising &amp; Development function with a specific focus on the Finance Analytics product and initiatives. As a Senior Engineer, you will collaborate with data scientists, analysts, and other cross-functional teams to ensure the availability, reliability, and performance of data systems. Leads initiatives to enable trusted financial data, supports decision-making, and partners with business and technology teams to align data capabilities with strategic finance objectives. Expertise in cloud computing platforms, technologies and data engineering best practices will play a crucial role within this domain.
 
 
 
 
 
 
 Who we&rsquo;re looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 <ul>
 <li>
 Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
 </li>
 <li>
 Develop strategies for scaling Financial Analytics data products across the organization, ensuring solutions are adaptable and future-ready
 </li>
 <li>
 Act as the technical subject matter expert (SME) for development squads, providing guidance on architecture, design, and best practices
 </li>
 <li>
 Ensure data quality and integrity through audits, validation processes as per financial regulations per country, and governance frameworks.
 </li>
 <li>
 Collect feedback from business stakeholders and end-users to continuously improve financial data products and align with evolving business requirements.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure data solutions are aligned with business and financial analytical needs.
 </li>
 <li>
 Lead and manage a team of data engineers, providing mentorship, guidance, and technical direction.
 </li>
 <li>
 Ensure comprehensive documentation for each financial data product, covering technical specifications, use cases, and performance metrics
 </li>
 <li>
 Stay updated with emerging technologies, trends in data engineering and bring relevant advancements / adoption of tools that enhance product development and delivery in Finance Analytics.
 </li>
 <li>
 Regularly report on portfolio progress, performance metrics, and project statuses to executive leadership and key stakeholders.
 </li>
 <li>
 Conduct performance reviews, coach team members, and support career development initiatives.
 </li>
 <li>
 Champion upskilling and training across the engineering team to ensure continued excellence in delivering finance-related solutions.
 </li>
 <li>
 Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 Provides technical leadership and drives operational excellence across Finance Analytics data engineering initiatives
 </li>
 <li>
 Bachelor's degree or higher in Computer Science, Engineering, or a related field
 </li>
 <li>
 8+ years of professional experience in data engineering or related domains
 </li>
 <li>
 4+ years of AWS or GCP experience
 </li>
 <li>
 Proficient in programming languages (e.g., Python, Java, Scala) and data pipeline orchestration (e.g., Apache Airflow, Luigi)
 </li>
 <li>
 Strong experience with distributed systems, big data platforms, and data storage technologies (e.g., Hadoop, Spark, NoSQL)
 </li>
 <li>
 Strong knowledge in data architecture, cloud platforms, data pipelines, and software development best practices
 </li>
 <li>
 Proven success in managing and scaling data engineering teams in complex environments
 </li>
 <li>
 Ability to convey complex technical concepts to non-technical stakeholders and report on project progress effectively
 </li>
 <li>
 Ability to manage ad hoc demands along with organizational priorities and set realistic expectations.
 </li>
 <li>
 A self-initiated influencer, Systems thinker and strong stakeholder management.
 </li>
 <li>
 Exceptional problem-solving and innovation skills with a strategic mindset.
 </li>
 </ul>
 
 
 
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid
 
</div>

Senior Manager, Data Engineering [T500-20275]

Microsoft

<div>
 
 Be the voice behind the future&mdash;join us to build transformative speech technology for multilingual, intelligent experiences that reach billions.
 
 
 
 Microsoft is pioneering next-generation AI-driven speech solutions for voice agents, video translation, and call centre analytics.
 
 
 As a
 
 Senior Software Engineer
 
 in Microsoft&rsquo;s
 
 Azure Speech team
 
 , you will develop advanced customization infrastructure and data processing tools to finetune multilingual speech models, AOAI models, and multimodal generative AI powering real-time transcription, intelligent voice agents, and multilingual dubbing across Microsoft products and enterprise solutions. Your work will impact millions&mdash;enabling next-generation human&ndash;machine experiences for diverse markets, with a special focus on India.
 
 
 In this strategic role, you will have significant ownership on technical direction and drive innovation in scaling data processing, engineering efficiency and ease of AOAI customisation, and generative AI. You&rsquo;ll collaborate with top engineers and scientist and deliver breakthrough technologies for applications in voice agents, video translation, and call centre analytics.
 
 
 Based in
 
 Hyderabad
 
 , this on-site role offers opportunities to mentor, grow, and shape the future of multimodal interaction for Indian and global audiences.
 
 
 Microsoft&rsquo;s mission is to empower every person and organisation to achieve more. We embrace a growth mindset and encourage teams and leaders to bring their best.
 
 Join us to shape the future of speech and multimodal LLM technology.
 
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Deliver world-class and transformative engineering platforms for customizing Microsoft 1st party and 3rd party products and services.
 </li>
 <li>
 Set technical directions in model customization platforms and scalable data processing solutions for multilingual speech model, speech LLMs, and AOAI models.
 </li>
 <li>
 Build novel data solutions to synthesize complex speech scenarios and finetune models.
 </li>
 <li>
 Build data analysis metrics and solutions to understand the model results, identify gaps, and guide solutions.
 </li>
 <li>
 Collaborate with the global Microsoft team, drive innovative solutions for significant customer asks, and deliver sustained large impacts.
 </li>
 <li>
 Mentor and influence peers, sharing expertise and fostering a growth-oriented inclusive team culture.
 </li>
 <li>
 Contribute to patents and publications at top-tier conferences and represent the team&rsquo;s technical leadership within and outside Microsoft.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 BS/MS/PhD Degree in CS/EE or related fields with focus in machine learning, AI, or speech technologies.
 </li>
 <li>
 8+ years&rsquo; experience in software development skills with deep expertise in designing, building, and deploying large-scale, production-grade AI systems.
 </li>
 <li>
 Demonstration of excellent problem-solving skills and proven track record of delivering impactful results and high-quality solutions in complex engineering environments.
 </li>
 <li>
 Strong programming skills in Python, C++ or similar languages, with experience in large-scale data processing and distributed computing.
 </li>
 <li>
 Effective communication skills, both verbal and written.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with speech/audio processing, multilingual model development, or voice agent technologies.
 </li>
 <li>
 Familiarity with Azure, cloud-based AI platforms, or enterprise-scale deployment of speech solutions.
 </li>
 <li>
 Contributions to open-source projects, patents, or publications in top-tier conferences/journals.
 </li>
 <li>
 Demonstrated leadership in driving technical direction, influencing cross-functional teams, and mentoring peers.
 
 
 </li>
 </ul>
 
 Inclusivity &amp; Compliance
 
 
 
 <ul>
 <li>
 Commitment to fostering an inclusive, growth-oriented team culture.
 </li>
 <li>
 Adherence to Microsoft&rsquo;s EEO and diversity guidelines.
 
 
 </li>
 </ul>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Software Engineer

<div>
 Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.
 
 
 We&rsquo;re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.
 
 
 
 The goal of the Neurodiversity Hiring Program is to build a hiring approach that recognizes and embraces the strengths of Neurodiverse candidates. Neurodiversity encompasses a wide range of cognitive differences, such as ADHD, autism, dyslexia, dyspraxia &amp; dyscalculia.
 
 
 
 Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? The Azure CXP team&rsquo;s mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work.
 
 
 We are customer-obsessed problem-solvers. We orchestrate deep engagements in areas like incident management, support, and enablement. We analyze and amplify those customer voices, both within our own team, and across the Cloud + AI team, bringing the customer connection to the Quality vision for Azure. We innovate ways to scale what we learn across our customer base.  Diversity and inclusion are central to who we are, how we work, and what we enable our customers to achieve. We know that empowering our customers starts with empowering our team to show up authentically, work in ways that are best for them, and achieve their career goals. Azure Reliability team is a multidisciplinary engineering organization part of CXP dedicated to making, &ldquo;Azure the safest and most reliable Cloud&rdquo;.
 
 
 We are the Azure Reliability team; a multidisciplinary engineering organization committed to making Azure the world&rsquo;s safest and most reliable cloud. For Azure&rsquo;s most critical services and products, we apply a Site Reliability Engineering (SRE) approach. Our software engineers work closely with product teams to enhance availability, reliability, observability, and operability across our planet-scale systems.
 
 
 We prioritize long-term platform improvements through engineering over repetitive manual tasks. Increasingly, we leverage AI to amplify our ability to scale reliability across Azure. Our teams contribute to product architecture, share knowledge and code, and focus on building reusable solutions that benefit multiple teams and services.
 
 
 As the SRE discipline evolves, we continuously learn from industry peers and contribute to its advancement by innovating within our group and sharing our insights publicly. Our team brings diverse professional backgrounds, both traditional and non-traditional, and we&rsquo;re committed to growing diversity. We believe that an inclusive environment where everyone feels safe to contribute leads to better teams, better products, and a better workplace. We&rsquo;re not looking for people who know it all; we&rsquo;re looking for those eager to learn it all. If you thrive on collaboration, embrace challenges, and see mistakes as opportunities to grow, we&rsquo;d love to meet you.
 
 
 Every day, our customers stake their business and reputation on our cloud. You can help #AzCXP provide our customers with the world-class cloud services they need to succeed.
 
 
 
 Company Culture Statement
 
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 Billions of users across the world rely on our products, and to meet this demand we design and implement world-class distributed systems.
 
 
 As a Software Engineer in one of our Azure SRE teams, you will be responsible for improving the reliability of key Azure products.
 
 
 The Azure SRE key focus areas are:
 
 
 <ul>
 <li>
 Defining system reliability goals through Service Level Objectives (SLOs). Enhancing production posture with targeted improvements in observability and operability (telemetry, alerting, incident/change management, safe deployment practices).
 </li>
 <li>
 Building reusable automation and processes that help multiple teams meet their reliability goals. Influencing product architecture and roadmaps to ensure customer-experienced reliability is a core design principle.
 </li>
 <li>
 Contributing directly to product code to achieve reliability outcomes. Leveraging AI to proactively detect anomalies, predict incidents, and automate operational workflows - scaling reliability efforts across complex systems.
 
 
 </li>
 </ul>
 We are looking for engineers passionate about the above areas who are also interested in:
 
 
 <ul>
 <li>
 Designing and developing large-scale distributed software services and solutions. Delivering &ldquo;best-in-class&rdquo; engineering by ensuring services are modular, secure, reliable, testable, diagnosable, observable, and reusable.
 </li>
 <li>
 Collaborating with internal and external partners to support team goals. Balancing pragmatism with vision - driving continuous improvements in process and codebase. Building automation to prevent or remediate service issues before they impact users.
 </li>
 <li>
 Driving innovation in large-scale operations by applying cutting-edge AI tools and techniques to reduce operational toil and scale reliability engineering across complex systems.
 </li>
 <li>
 Gaining a working understanding of Microsoft businesses and contributing to cohesive, end-to-end user experiences.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Eligible for the Neurodiversity Hiring Program
 </li>
 <li>
 Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with modern distributed software design patterns and cloud systems architecture, including microservices, containers, load balancing, queuing, caching.
 </li>
 <li>
 Proven track record in building, shipping, and operating reliable solutions.
 </li>
 <li>
 Proficiency in programming languages like C#/Java/Python.
 </li>
 <li>
 Experience with data technologies (SQL/NoSQL/etc.).
 </li>
 <li>
 Experience with Azure is a plus.
 </li>
 <li>
 Experience in AI adoption with tools like GitHub Copilot, Azure OpenAI and custom copilots to streamline development and reduce toil.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Software Engineer - Neurodiversity Hiring Program

The Hackett Group Inc.

<div>
 
 
 Job Description
 
 
 
 Senior Consultant is responsible for supporting and enhancing the existing on-premise BI environment and developing cloud BI stack. Tasks range from database maintenance and support to general BI development, including ETL and Visualizations. Must have the ability to work on end-to-end BI solution design and delivery.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 D
 
 esign and implementation
 
 of scalable data warehouse and BI solutions on Azure.
 </li>
 <li>
 Drive the development of
 
 Power BI dashboards and analytics solutions
 
 aligned with business KPIs and executive reporting needs.
 </li>
 <li>
 Collaborate with stakeholders to
 
 define reporting requirements
 
 and translate them into efficient BI solutions.
 </li>
 <li>
 Oversee and optimize
 
 ETL/ETL pipelines
 
 for performance, scalability, and cost-efficiency.
 </li>
 <li>
 Drive the use of
 
 scripting and automation
 
 to streamline data workflows and monitoring.
 </li>
 <li>
 Collaborate with teams to integrate
 
 Big Data technologies
 
 into BI/DWH solutions.
 </li>
 <li>
 Ensure
 
 data quality, governance, and compliance
 
 across all reporting layers.
 </li>
 <li>
 Proactively identify opportunities to
 
 improve reporting processes and data warehouse architecture
 
 .
 </li>
 <li>
 Act as a
 
 trusted advisor
 
 for BI strategy, suggesting best practices and emerging tools in the Azure ecosystem.
 </li>
 </ul>
 
 
 
 
 
 Essential Skills
 
 
 
 Technical
 
 <ul>
 <li>
 
 Data Warehousing (DWH)
 
 &ndash; design, architecture, and implementation
 </li>
 <li>
 
 Azure Synapse Analytics / Azure Data Warehouse
 
 </li>
 <li>
 
 Power BI
 
 &ndash; data modeling, DAX, dashboard/report design, optimization
 </li>
 <li>
 
 SQL
 
 &ndash; advanced querying, optimization, stored procedures, performance tuning
 </li>
 <li>
 
 Database Knowledge
 
 &ndash; relational models, indexing, schema design
 </li>
 <li>
 
 ETL/ELT Tools &amp; Pipelines
 
 &ndash; data integration and orchestration
 </li>
 <li>
 
 Data Modeling
 
 &ndash; star schema, snowflake schema, SCDs, fact/dimension design
 </li>
 <li>
 
 Data Governance &amp; Security
 
 &ndash; role-based access, compliance best practices
 </li>
 <li>
 
 Cloud Ecosystem (Azure)
 
 &ndash; storage, compute, and analytics services
 </li>
 <li>
 
 Scripting languages
 
 such as
 
 Python, Shell, or PowerShell
 
 for automation and data handling.
 </li>
 <li>
 Exposure to
 
 Big Data technologies
 
 (e.g., Spark, Databricks, Hadoop ecosystem).
 </li>
 </ul>
 
 
 
 
 Personal
 
 <ul>
 <li>
 
 Stakeholder Management
 
 &ndash; engage with business users to gather and translate requirements into BI solutions
 </li>
 <li>
 
 Communication Skills
 
 &ndash; ability to explain technical concepts to non-technical stakeholders clearly
 </li>
 <li>
 
 Analytical Thinking
 
 &ndash; strong problem-solving mindset with focus on business outcomes
 </li>
 <li>
 
 Collaboration
 
 &ndash; work effectively with cross-functional teams (Business, IT, Data Engineering)
 </li>
 <li>
 
 Project Ownership
 
 &ndash; ability to manage end-to-end delivery with accountability for timelines and quality
 </li>
 <li>
 
 Adaptability
 
 &ndash; stay updated with emerging BI and cloud technologies, driving innovation in solutions
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 
 Job
 
 <ul>
 <li>
 Knowledge of Oracle modules/tables: Financials, HR, Projects
 </li>
 <li>
 Knowledge of OTBI Subject Areas/BI Publisher
 </li>
 <li>
 Understanding of Financial Concepts is a plus
 </li>
 </ul>
 
 Personal
 
 <ul>
 <li>
 Demonstrate proactive thinking
 </li>
 <li>
 Should have strong interpersonal relations and business acumen
 </li>
 <li>
 Negotiation and persuasion skills are required to work with partners and implement changes
 </li>
 <li>
 A very inquisitive mind that can factor in several variables acting on the situation
 </li>
 </ul>
 
 
</div>

Senior ETL Consultant

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