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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 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]

<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]

Saransh Inc

<div>
 
 We are Hiring for Business Analyst
 
 
 
 
 
 Experience: 6 &ndash; 10 Years
 
 
 Work Location: Hyderabad or Chennai or Bangalore
 
 
 Notice:0-20 Days
 
 
 Key Skills: Business Analyst, Banking domain, Finance, SQL
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Risk &amp; Finance Technology Specialist
 
 with strong expertise in SQL, database applications, and financial data models. The ideal candidate will play a key role in managing data flow, enhancing analytical systems, and supporting the migration of Essbase cubes to modern platforms.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, analyze, and optimize data flow and data models for finance and risk technology applications.
 </li>
 <li>
 Write and optimize
 
 complex SQL queries
 
 , including advanced joins and analytical functions.
 </li>
 <li>
 Work with databases such as
 
 Oracle
 
 and
 
 Netezza
 
 to develop, maintain, and troubleshoot applications.
 </li>
 <li>
 Decompose existing
 
 Essbase Cubes
 
 :
 </li>
 <li>
 Analyze cube structures and logic.
 </li>
 <li>
 Document metadata, hierarchies, and business rules.
 </li>
 <li>
 Prepare solutions for migration or rebuild on modern platforms.
 </li>
 <li>
 Collaborate with business and technology teams to ensure data integrity, accuracy, and alignment with business requirements.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Proven experience in
 
 risk or finance technology
 
 domains.
 </li>
 <li>
 Strong proficiency in
 
 SQL
 
 and database concepts.
 </li>
 <li>
 Working knowledge of
 
 Oracle, Netezza, or similar databases
 
 .
 </li>
 <li>
 Solid understanding of
 
 data flows, data modeling, and database applications
 
 .
 </li>
 <li>
 Hands-on experience with
 
 Essbase cubes
 
 (design, structure, business rules, and migration).
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 </ul>
 
 
 
 
 If Interested apply at
 
 shalini.v@saranshinc.com
 
 
 
 
 
 
 #RiskTechnology #FinanceTechnology #SQL #DataModeling #DataEngineering #OracleDatabase #Netezza #Essbase #DataAnalytics
 
</div>

Business Analyst

Teradata

<div>
 
 Our company:
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What you will do:
 
 
 
 In this role primary responsibility is to perform testing for Cloud Native Database features. This includes understanding feature specifications early in the development cycle to create test specifications, test cases, and test plans under the guidance of feature test architects. This is a key testing position accountable to perform end-to-end testing of complex database features including functional, regression and performance testing ensuring that the features are delivered with high quality in committed timelines.
 
 
 
 Who you will work with:
 
 
 
 You will join a team of dedicated professionals who strive to deliver high quality features with passion, excellence, collaboration, and innovation. You will have the opportunity to express your creativity and originality in the projects.
 
 
 
 What Makes You a Qualified Candidate:
 
 
 
 <ul>
 <li>
 BE/B. Tech/M. Tech degree in Computer Science/Information Technology or related field with 2+ years of programming experience and/or software testing experience.
 </li>
 <li>
 Strong scripting knowledge in Shell/Python
 </li>
 <li>
 Experience in working with Relational Databases (RDBMS) and SQL
 </li>
 <li>
 Experience with cloud-based development and systems, having worked on projects involving AWS, Azure and Google Cloud platforms
 </li>
 <li>
 Expertise in the utilization of AI and analytical tools based on the requirements.
 
 
 </li>
 </ul>
 
 What You will bring:
 
 
 
 <ul>
 <li>
 Primarily responsible for the end-to-end testing of cloud database features
 </li>
 <li>
 Ability to understand features and functionalities from the design documents
 </li>
 <li>
 Ability to write feature test specifications, develop and automate test cases
 </li>
 <li>
 Testing the bug fixes, provide assistance in debugging and isolating the issues
 </li>
 <li>
 Ability to learn, adapt new technologies and attention to detail
 </li>
 <li>
 Working experience in Agile Software Development with exposure to test driven development
 </li>
 <li>
 Proven record in completing/delivering features
 </li>
 <li>
 Strong verbal and written communication skills
 </li>
 <li>
 Strong interpersonal skill for effective teamwork
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Software Test and Automation Engineer

Capgemini

<div>
 
 Job Description
 
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.
 
 
 <ul>
 <li>
 Applies scientific methods to analyse and solve software engineering problems.
 </li>
 <li>
 He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
 </li>
 <li>
 His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
 </li>
 <li>
 The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
 </li>
 <li>
 The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 </li>
 </ul>
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Software Engineer

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

NxtWave

<div>
 
 As a Fullstack SDE1 at NxtWave, you
 
 <ul>
 <li>
 Get first hand experience of building applications and see them released quickly to the NxtWave learners (within weeks)
 </li>
 <li>
 Get to take ownership of the features you build and work closely with the product team
 </li>
 <li>
 Work in a great culture that continuously empowers you to grow in your career
 </li>
 <li>
 Enjoy freedom to experiment &amp; learn from mistakes (Fail Fast, Learn Faster)
 </li>
 <li>
 NxtWave is one of the fastest growing edtech startups. Get first-hand experience in scaling the features you build as the company grows rapidly
 </li>
 <li>
 Build in a world-class developer environment by applying clean coding principles, code architecture, etc.
 </li>
 </ul>
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, implement, and ship user-centric features spanning frontend, backend, and database systems under guidance.
 </li>
 <li>
 Define and implement RESTful/GraphQL APIs and efficient, scalable database schemas.
 </li>
 <li>
 Build reusable, maintainable frontend components using modern state management practices.
 </li>
 <li>
 Develop backend services in Node.js or Python, adhering to clean-architecture principles.
 </li>
 <li>
 Write and maintain unit, integration, and end-to-end tests to ensure code quality and reliability.
 </li>
 <li>
 Containerize applications and configure CI/CD pipelines for automated builds and deployments.
 </li>
 <li>
 Enforce secure coding practices, accessibility standards (WCAG), and SEO fundamentals.
 </li>
 <li>
 Collaborate effectively with Product, Design, and engineering teams to understand and implement feature requirements..
 </li>
 <li>
 Own feature delivery from planning through production, and mentor interns or junior developers.
 </li>
 </ul>
 <li>
 </li>
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 1+ years of experience building full-stack web applications.
 </li>
 <li>
 Proficiency in JavaScript (ES6+), TypeScript, HTML5, and CSS3 (Flexbox/Grid).
 </li>
 <li>
 Advanced experience with React (Hooks, Context, Router) or equivalent modern UI framework.
 </li>
 <li>
 Hands-on with state management patterns (Redux, MobX, or custom solutions).
 </li>
 <li>
 Strong backend skills in Node.js (Express/Fastify) or Python (Django/Flask/FastAPI).
 </li>
 <li>
 Expertise in designing REST and/or GraphQL APIs and integrating with backend services.
 </li>
 <li>
 Solid knowledge of MySQL/PostgreSQL and familiarity with NoSQL stores (Elasticsearch, Redis).
 </li>
 <li>
 Experience using build tools (Webpack, Vite), package managers (npm/Yarn), and Git workflows.
 </li>
 <li>
 Skilled in writing and maintaining tests with Jest, React Testing Library, Pytest, and Cypress.
 </li>
 <li>
 Familiar with Docker, CI / CD tools (GitHub Actions, Jenkins), and basic cloud deployments.
 </li>
 <li>
 Product-first thinker with strong problem-solving, debugging, and communication skills.
 </li>
 </ul>
 <li>
 </li>
 
 
 Qualities we'd love to find in you:
 
 
 <ul>
 <li>
 The attitude to always strive for the best outcomes and an enthusiasm to deliver high quality software
 </li>
 <li>
 Strong collaboration abilities and a flexible &amp; friendly approach to working with teams
 </li>
 <li>
 Strong determination with a constant eye on solutions
 </li>
 <li>
 Creative ideas with problem solving mind-set
 </li>
 <li>
 Be open to receiving objective criticism and improving upon it
 </li>
 <li>
 Eagerness to learn and zeal to grow
 </li>
 <li>
 Strong communication skills is a huge plus
 </li>
 </ul>
 
 
 Work Location:
 
 Hyderabad
 
 
 
</div>

Explore 26+ Database engineer in Hyderabad this September. Find roles across top companies and apply now to boost your career.

26 database engineer jobs IN Hyderabad

Senior Manager, Data Engineering [T500-20275]

Data Engineer II [T500-20274]

Business Analyst

Software Test and Automation Engineer

Software Engineer

Senior ETL Consultant

Software Engineer