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Microsoft

<div>
 
 Overview
 
 
 
 Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
 
 
 Microsoft&rsquo;s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &amp; real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
 
 
 Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings.
 
 
 The SQL Database team delivers world class relational database server technologies used across the globe on everything from small devices, desktops, and servers to some of the largest Cloud deployments in the world. Everywhere you look, the amount of data being generated in the world is soaring. With this dramatic growth, the importance of the data platform continues to grow tremendously. Data is at the heart of the Cloud. Winning in the Cloud requires rich data services that provide deep insights from data. All of this must be done while supporting high availability, predictability, and elasticity; Supporting 100s terabytes of data; ability to both scale up and scale out; supporting 1000&rsquo;s of users on a single machine or a query that utilizes 1000&rsquo;s of cores. Does this sound like an interesting problem? If yes, talk to us in the SQL team. We have made a big bet on our super-successful business winning in the Cloud. We will win by building the world&rsquo;s best data management Cloud platform and transform how people use databases. But to do that, we need your help. Our competition is fierce, and our aspirations are bold!
 
 
 We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 As an engineer in the Hyperscale team in Azure SQL Database, you will work on the latest technology in compute and storage, apply innovative algorithms for solving database, computing and storage problems at scale and high performance
 </li>
 <li>
 We need collaborative developers who can think big and find creative ways to meet these challenges
 </li>
 <li>
 Embody our culture and values
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required/Minimum Qualifications
 
 
 <ul>
 <li>
 Bachelor's/Master's/PhD with work or research experience in computer science or related field
 </li>
 <li>
 1+ years of programming experience in C++ OR C# OR Java
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 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:
 
 
 <ul>
 <li>
 This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred/Additional Qualifications
 
 
 
 <ul>
 <li>
 Sound problem-solving skills with strong system sensibilities
 </li>
 <li>
 Proficient in C++, C#, Java or other high-level languages
 </li>
 <li>
 Good understanding of database system internals, query processing, storage systems
 </li>
 <li>
 Experience in building and shipping production grade software or services
 </li>
 <li>
 High enthusiasm, integrity, results-orientation, self-motivation, and resourcefulness
 </li>
 <li>
 Work collaboratively, solve problems with groups, find win/win solutions, celebrate successes
 </li>
 <li>
 Solve problems by always leading with deep passion and empathy for customers
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form (Accessibility | Microsoft Careers).
 
 
 Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
 
 
 #azdat
 
 
 #azuredata
 
 
 #AZDAT #ENGGJOBS #exploreIDC
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Software Engineer

Quince

<div>
 
 ABOUT QUINCE
 
 
 
 Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value.
 
 
 Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions:
 
 
 <ul>
 <li>
 Customer First: We prioritize customer satisfaction in every decision.
 </li>
 <li>
 High Quality: True quality means premium materials and rigorous production standards you can feel good about.
 </li>
 <li>
 Essential Design: We focus on timeless, functional essentials instead of chasing trends.
 </li>
 <li>
 Always a Better Deal: Innovation and transparency ensure value for both customers and partners.
 </li>
 <li>
 Social &amp; Environmental Responsibility: We commit to sustainable materials, ethical production, and fair wages.
 
 
 </li>
 </ul>
 Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency.
 
 
 
 OUR TEAM AND SUCCESS
 
 
 
 At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience &ndash; one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence.
 
 
 If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Responsible for the execution and quality of the tools, services, datasets delivered by the Data Engineering team.
 </li>
 <li>
 Build and deploy scalable data engineering solutions on the cloud for engineering, analytics &amp; data-science consumers.
 </li>
 <li>
 Be at the forefront with the business &amp; engineering teams to learn, understand, identify and translate functional requirements into technical opportunities.
 </li>
 <li>
 Own the low-level design and implementation while maintaining high-quality of design /programming standards
 </li>
 <li>
 End-to-end module ownership of your functional area.
 </li>
 <li>
 Sharp focus on performance optimizations &amp; continuous effort towards improving both read &amp; write latencies.
 </li>
 <li>
 Researching on and integrating any big data tools and frameworks required to provide requested capabilities.
 </li>
 <li>
 Time split - 80% hands-on programming/execution/research and 20% stakeholder management depending on experience &amp; exposure.
 </li>
 <li>
 Dealing with ambiguity &amp; seeking to resolve those by collaborating with all necessary stakeholders.
 </li>
 <li>
 Ensuring operational efficiency and actively participating in organizational initiatives with the objective of ensuring the highest customer value.
 
 
 </li>
 </ul>
 
 Must Have:
 
 
 
 <ul>
 <li>
 Experience in big data technologies(Apache Hadoop/Spark/Hive/Presto)
 </li>
 <li>
 Experience with Message Queues(e.g. Apache Kafka/Kinesis/RabbitMQ)
 </li>
 <li>
 Proficiency in at least one of the following programming languages - Python, Java or Scala.
 </li>
 <li>
 Experience in building Highly Available, Fault Tolerant REST services preferably for data ingestion or data extraction.
 </li>
 <li>
 Good understanding of data warehousing fundamentals.
 </li>
 <li>
 Good exposure to SQL (T-SQL/PL-SQL/SPARK-SQL/HIVE-QL).
 </li>
 <li>
 Experience with integrating data across multiple data sources.
 </li>
 <li>
 Good understanding of distributed computing principles.
 </li>
 <li>
 Strong analytical/quantitative skills and comfortable working with very large &amp; varied sets of data.
 
 
 </li>
 </ul>
 
 Good To Have:
 
 
 
 <ul>
 <li>
 Working knowledge of cloud-native (AWS preferred) services/tools.
 </li>
 <li>
 Experience with MPP data warehouses (e.g.Snowflake/Redshift).
 </li>
 <li>
 Proficiency in Apache Spark &amp; Apache Kafka.
 </li>
 <li>
 Experience with any NoSQL storage(e.g.Redis/DynamoDB/Memcache).
 
 
 </li>
 </ul>
 
 WHY QUINCE?
 
 
 
 Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.
 
 
 
 EQUAL OPPORTUNITY &amp; HIRING INTEGRITY
 
 
 
 Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
 
 
 Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.
 
 
 Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.
 
 
 
 Security Advisory: Beware of Frauds
 
 
 
 At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom&mdash;never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.
</div>

Software Development Engineer - 2 : Data Engineering

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 About The Team
 
 
 
 At eBay, the Data Platform Engineering group designs and scales innovative infrastructure and analytics solutions that power robust data flows, real-time insights, and inventory mapping globally. The team builds and maintains large-scale systems supporting high-volume data acquisition, transformation, and reporting, driving platform reliability and supporting business decision-making across regions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Architect, develop, and maintain backend services and distributed systems driving large-scale data collection, processing, and reporting workflows.
 </li>
 <li>
 Design and optimize ETL (Extract, Transform, Load) pipelines for a range of data sources, enabling inventory mapping, enrichment, and transformation.
 </li>
 <li>
 Build, monitor, and troubleshoot microservices, data crawling tools, and plugins for cloud-native deployments and high system resilience.
 </li>
 <li>
 Implement advanced extraction and mapping frameworks using modern technology stacks, ensuring data is clean, comprehensive, and actionable.
 </li>
 <li>
 Ensure platform reliability and scalability with proactive incident response, robust monitoring, and ongoing technical upgrades.
 </li>
 <li>
 Contribute to customer-facing portals and dashboards that support internal teams in configuring, managing, and monitoring data workflows.
 </li>
 <li>
 Collaborate globally across engineering, product, and analytics teams (India, US, China, Europe) to deliver impactful platform features and ensure alignment on technical best practices.
 </li>
 <li>
 Participate actively in release management, code reviews, operations, and knowledge sharing for continual improvement and technical excellence.
 </li>
 <li>
 Guide peers in troubleshooting, system design, DevOps processes, and cloud pipeline architecture.
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Strong proficiency in backend development: Java (Spring Boot), Groovy, Python, and distributed computing frameworks such as Spark and Hadoop.
 </li>
 <li>
 Hands-on experience with databases: MongoDB, MySQL, Oracle, as well as big data solutions including Hive and ETL pipeline design.
 </li>
 <li>
 Familiarity with frontend technologies (HTML, JavaScript, Angular) supporting dashboard, visualization, and portal development.
 </li>
 <li>
 Demonstrated experience in building scalable data analysis workflows, inventory mapping systems, and production monitoring solutions.
 </li>
 <li>
 Expertise in technologies such as ElasticSearch, Kafka, Docker, Kubernetes, and Grafana.
 </li>
 <li>
 Proven ability in incident management: code review coordination, release verification, and troubleshooting in cloud-native environments.
 </li>
 <li>
 Experience collaborating in global, cross-functional teams and providing technical mentorship.
 
 
 
 </li>
 </ul>
 Desired Qualities
 
 
 <ul>
 <li>
 Detail-oriented and passionate about data quality, process optimization, and infrastructure reliability.
 </li>
 <li>
 Proactive communicator and team contributor in fast-paced, distributed engineering organizations.
 </li>
 <li>
 High accountability for release outcomes and data workflow accuracy.
 </li>
 <li>
 Committed to continuous learning, technical documentation, and knowledge sharing.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or advanced degree in Computer Science, Software Engineering, or a closely related field.
 </li>
 <li>
 Professional experience in large-scale data systems, backend software engineering, and analytics platforms.
 </li>
 <li>
 Exposure to business data workflows, infrastructure automation, or external data aggregation is a plus.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Walmart Global Tech India

<div>
 Position Summary...
 
 
 What you'll do...
 
 
 
 Job Description
 
 
 
 
 About Team:
 
 
 
 As part of the Replenishment &amp; Forecasting team at Walmart, you&rsquo;ll have the opportunity to work with some of the smartest engineers/architects/data scientist and will have the opportunity to solve one of the most critical problems for Walmart
 
 
 We are looking for passionate Data Engineers to join our team &amp; help us in building our next generation Replenishment &amp; Forecasting Platform for Walmart. We drive $200B+ inventory replenishments annually. Improved forecast will help drive down the inventory days of supply and reduce waste for perishable grocery &ndash; savings measured in billions of dollars &ndash; while improving our in stocks. Effectively predicting demand involves learning from past sales and modelling the effects price, promotions, store placements, local events, weather etc. Replenishment ensures we have the effective distribution of the demand to the final destinations (Stores, DCs, etc.)
 
 
 Doing this a Walmart scale &ndash; over 500 M store item combinations - makes it one of the largest and most challenging problems of its kind in the world while also being the most impactful. Talk to us if you are interested in taking up the challenge.
 
 
 
 What you'll do:
 
 
 
 <ul>
 <li>
 Write efficient and quality code that can work @ Walmart scale
 </li>
 <li>
 Learn various aspects around data elements and their relevance to business.
 </li>
 <li>
 End-to-end ownership of your business stories including development, deployment to QA and production.
 </li>
 <li>
 Be responsible to on-call support on a need basis.
 </li>
 <li>
 Adopt Walmart&rsquo;s quality standards and develop and recommend process standards and best practices across the retail industry
 </li>
 <li>
 Research, learn &amp; adapt new technologies to solve problems &amp; improve existing solutions
 </li>
 <li>
 Participate in events to build innovative solutions
 </li>
 <li>
 Adhere to company policies, procedures, mission, values, and standards of ethics and integrity.
 
 
 </li>
 </ul>
 
 What you'll bring:
 
 
 
 <ul>
 <li>
 B.E/B.Tech from a reputed institution.
 </li>
 <li>
 Minimum of 3 years of solid Java experience.
 </li>
 <li>
 Good understanding of Spring Framework.
 </li>
 <li>
 Good understanding in Big Data Ecosystem - Hadoop and Spark.
 </li>
 <li>
 Must have project experience with Spark.
 </li>
 <li>
 Ability to independently troubleshoot Spark jobs.
 </li>
 <li>
 Good understanding of distributed systems.
 </li>
 <li>
 Fast learner and quickly adapt to new technologies.
 </li>
 <li>
 Prefer individuals with high ownership and commitment.
 
 
 </li>
 </ul>
 
 About Walmart Global Tech
 
 
 
 Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That&rsquo;s what we do at Walmart Global Tech. We&rsquo;re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world&rsquo;s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
 
 
 We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
 
 
 
 Flexible, hybrid work
 
 
 
 Walmart&rsquo;s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.
 
 
 
 Benefits
 
 
 
 Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, pto, health benefits, and much more.
 
 
 
 Belonging
 
 
 
 We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
 
 
 At Walmart, our vision is "everyone included." by fostering a workplace culture where everyone is&mdash;and feels&mdash;included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we&rsquo;re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
 
 
 
 Equal opportunity employer
 
 
 
 Walmart, inc., is an equal opportunities employer &ndash; by choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions &ndash; while being inclusive of all people.
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years&rsquo; experience in software engineering or related area.
 
 
 Option 2: 4 years&rsquo; experience in software engineering or related area.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 Master&rsquo;s degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity, or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.
 
 
 
 Primary Location...
 
 
 
 BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2376307
</div>

Software Engineer III

Cargill

<div>
 Job Purpose and Impact
 
 
 <ul>
 <li>
 The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job collaborates to ensure that large sets of data are efficiently processed and made accessible for decision making.
 
 
 </li>
 </ul>
 Key Accountabilities
 
 
 <ul>
 <li>
 DATA &amp; ANALYTICAL SOLUTIONS: Develops moderately complex data products and solutions using advanced data engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
 </li>
 <li>
 DATA PIPELINES: Maintains and supports the development of streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
 </li>
 <li>
 DATA SYSTEMS: Reviews existing data systems and architectures to implement the identified areas for improvement and optimization.
 </li>
 <li>
 DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and retrieval of data.
 </li>
 <li>
 DATA FORMATS: Implements appropriate data formats to improve data usability and accessibility across the organization.
 </li>
 <li>
 STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
 </li>
 <li>
 DATA FRAMEWORKS: Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives.
 </li>
 <li>
 AUTOMATED DEPLOYMENT PIPELINES: Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
 </li>
 <li>
 DATA MODELING: Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.
 </li>
 </ul>
</div>

Data Engineer

<div>
 
 Overview
 
 
 
 Microsoft&rsquo;s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging &amp; real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the databases team builds and maintains Microsoft's operational Database systems. We store and manage data in a structured way to enable multitude of applications across various industries. We are on a journey to enable developer friendly, mission-critical, AI enabled operational Databases across relational, non-relational and OSS offerings.The Azure Data SQL Core Team is looking for a Software Engineer II with a passion for technology, performance and helping customers succeed on our platform by building the next set of industry-leading features and capabilities. SQL Core team works on key Azure SQL Database operating system capabilities (scheduling, memory management, locking, synchronization ...) with a focus on driving product performance and reducing TCO. We seek engineers who have experience in operating systems, hardware architectures (Intel, AMD, ARM), persistent memory technologies, performance and scalability on Windows and Linux. Engineers in SQL Core team will define and implement the next set of technologies, build new solutions and enable a new set of experiences for enterprise and cloud customers.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Spearheading prototype projects to swiftly assess design concepts Identifying and driving prototype projects for quick evaluation of design ideas.
 </li>
 <li>
 Contributing to current and future product improvements around performance (perf/scale/SLA)
 </li>
 <li>
 Identifying improvements in supportability and customer self-diagnostics that enable live monitoring with focus on identifying/addressing performance related issues
 </li>
 <li>
 Obsessed with customers, making data-driven decisions, and using telemetry collected from customers and production systems
 </li>
 <li>
 Embody our culture and values
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications:
 
 
 
 <ul>
 <li>
 3+ years of experience designing and developing production quality software.
 </li>
 <li>
 Strong design, implementation, and communication skills
 </li>
 <li>
 Proficiency with C++, and/or C#, solid knowledge of SQL
 
 
 </li>
 </ul>
 
 Preferred/Additional Qualifications
 
 
 
 <ul>
 <li>
 Extensive and specialized knowledge in one or more of the following areas: Database/OS internals, Big Data technologies, Hardware knowledge (CPU/System/Networking/Storage..), and Cloud related technologies - Methodical problem-solving, interpersonal, and communication skills
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Software Engineer II

Kuku FM

<div>
 
 About The Role
 
 
 
 As an Associate Machine Learning Engineer, you will be instrumental in advancing our recommendation algorithms and content embeddings, directly driving the growth and success of our Video and Audio Stories Platform.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Support Content Recommendations: Assist in building and refining recommendation algorithms to deliver personalized content to our users.
 </li>
 <li>
 Assist in Predictive Modelling: Collaborate with senior engineers to develop models that predict user behaviour and content preferences.
 </li>
 <li>
 Data Analysis &amp; Optimization: Help analyse user behaviour and content performance to identify trends that drive engagement and retention.
 </li>
 <li>
 Experimentation &amp; Testing: Support A/B testing efforts to assess the effectiveness of recommendations and content strategies.
 </li>
 <li>
 Collaborate Across Teams: Work closely with engineering, and product teams to integrate machine learning models into the platform.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 0-1 years of experience in machine learning or data science.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, or related fields.
 </li>
 <li>
 Good knowledge of Python, DSA, and exposure to machine learning techniques like classification, regression, clustering and recommendation systems.
 </li>
 <li>
 Enthusiasm for learning and working in a fast-paced, team-oriented environment.
 </li>
 <li>
 Interest in content and user experience.
 
 
 </li>
 </ul>
 
 Preferred Additional Skills
 
 
 
 <ul>
 <li>
 Familiarity with cloud services (AWS, GCP), SQL, or big data tools like Spark.
 </li>
 <li>
 Passion for recommendation systems and content embeddings.
 </li>
 <li>
 Master&rsquo;s from Tier-1 colleges
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Opportunity to work in a fast-growing audio/video and content platform.
 </li>
 <li>
 Exposure to multi-language marketing and global user base strategies.
 </li>
 <li>
 A collaborative work environment with a data-driven and innovative approach.
 </li>
 <li>
 Competitive salary and growth opportunities in marketing and growth strategy.
 
 
 </li>
 </ul>
 
 About KUKU
 
 
 
 Founded in 2018, KUKU is India&rsquo;s leading storytelling platform, offering a vast digital library of audio stories, short courses, and microdramas. KUKU aims to be India&rsquo;s largest cultural exporter of stories, culture and history to the world with a firm belief in &ldquo;Create In India, Create For The World&rdquo;.
 
 
 We deliver immersive entertainment and education through our OTT platforms: Kuku FM, Guru, Kuku TV, and more. With a mission to provide high-quality, personalized stories across genres from entertainment across multiple formats and languages, KUKU continues to push boundaries and redefine India&rsquo;s entertainment industry.
 
 
 🌐 Website: www.kukufm.com
 
 
 📱 Android App: Google Play
 
 
 📱 iOS App: App Store
 
 
 🔗 LinkedIn: KUKU
 
 
 📢 Ready to make an impact? Apply now!
 
 
 Skills: data science,machine learning,dsa,python
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Associate Machine Learning Engineer

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Associate Machine Learning Engineer