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senior software engineer Jobs in Mangaluru

senior software engineer

big data engineer

Amazon

<div>
 
 Description
 
 
 
 Fulfillment by Amazon (FBA) enables sellers to scale their businesses globally by leveraging Amazon&rsquo;s world-class fulfillment network. Sellers using FBA benefit from fast, reliable shipping, Prime delivery eligibility, and hassle-free returns&mdash;allowing them to focus on growth while we handle operations. The WW FBA Central Analytics team builds and operates scalable, enterprise-grade data infrastructure, tools, and analytics solutions that power WW FBA business. We partner across global product, program, and operations teams to unify diverse datasets, deliver self-service analytics, and develop next-generation capabilities using LLMs to unlock insights.
 
 
 Our charter includes building the foundational pipelines, governance frameworks, and intelligent interfaces that enable internal customers to query, analyze, and act on complex datasets with natural language. This is an opportunity to work on one of the largest, complex, and critical analytics ecosystems, designing solutions that combine massive scale, high reliability, and advanced AI.
 
 
 We are seeking a Data Engineer I who will support a GenAI-powered insights assistant initiative by building and scaling ingestion and embedding pipelines for unstructured WW FBA knowledge bases. Your role ensures the retrieval-augmented generation system accesses fresh, relevant document embeddings to enhance AI-driven insights and user query satisfaction.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Build batch and streaming data pipelines using Spark and AWS streaming services.
 </li>
 <li>
 Implement automated checks to ensure data consistency across different data types.
 </li>
 <li>
 Define and maintain data contracts with source teams to keep schemas consistent.
 </li>
 <li>
 Develop cross-domain metadata services linking structured and unstructured data catalogs.
 </li>
 <li>
 Create APIs and event-driven workflows integrating AI insights with business tools.
 </li>
 <li>
 Monitor pipeline health, costs, and SLA adherence.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 1+ years of data engineering experience
 </li>
 <li>
 Experience with data modeling, warehousing and building ETL pipelines
 </li>
 <li>
 Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
 </li>
 <li>
 Experience with one or more scripting language (e.g., Python, KornShell)
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
 </li>
 <li>
 Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
 </li>
 <li>
 Familiarity with RAG (Retrieval-Augmented Generation) principles.
 </li>
 <li>
 AWS experience: Lambda, S3, SageMaker, Bedrock Knowledge Bases.
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3082669
</div>

Data Engineer I

KPMG India

<div>
 
 
 Equal employment opportunity information
 
 
 
 
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
 Lighthouse Overview
 
 
 Lighthouse, KPMG&rsquo;s Big Data, AI &amp; Analytics practice has deep industry specialization and focuses on solution delivery for Data Engineering, Data Science, Data Visualization, and Process Analytics. We are looking for entrepreneurial leaders to drive growth and build strategic relationships.
 
 <ul>
 <li>
 
 Target Geographies:
 
 Domestic clients primarily, along with business in ME and APAC corridors
 </li>
 </ul>
 
 
 
 
 &gt;&gt; Role &amp; Responsibilities
 
 
 
 
 Technical:
 
 
 <ul>
 <li>
 Minimum 4 years of experience developing scalable and distributed systems in core Java
 </li>
 <li>
 Strong analytical and problem-solving capability
 </li>
 <li>
 Excellent verbal and written communications skills
 </li>
 <li>
 Client facing skills: Solid experience working with clients directly, to be able to build trusted relationships with stakeholders
 </li>
 <li>
 Ability to collaborate effectively across global teams
 </li>
 <li>
 Strong understanding of data structures, algorithm, object-oriented design and design patterns
 </li>
 <li>
 Strong Understanding in SQL to retrieve/transform/analyze datasets
 </li>
 <li>
 Solid understanding and experience with agile software development lifecycle.
 </li>
 <li>
 Experience in the use of multi-dimensional data, data curation processes, and the measurement/improvement of data quality.
 </li>
 <li>
 General knowledge of business processes, data flows and quantitative models that generate or consume data
 </li>
 <li>
 Independent thinker, willing to engage, challenge and learn new technologies
 </li>
 <li>
 Good Understanding in Big data frameworks such as Spark is a plus.
 </li>
 </ul>
 
 
 
 
 &gt;&gt; Qualification
 
 
 <ul>
 <li>
 Engineering Grad / Postgraduate
 </li>
 </ul>
 
 
 
 
 &gt;&gt; SELECTION PROCESS
 
 
 <ul>
 <li>
 Candidates should expect 2 - 3 rounds of personal or telephonic interviews to assess fitment
 </li>
 </ul>
 
 
 
 
 Interested candidates can mail their resumes at : Kartikkhanna2@kpmg.com
 
</div>

Java Software Engineer

Walmart Global Tech India

<div>
 
 
 Job Description Summary:
 
 
 
 Responsible for coding, unit testing, building high performance and scalable applications that meet the needs of millions of Walmart-International customers, in the areas of supply chain management &amp; Customer experience.
 
 
 
 About Team:
 
 
 
 Our team collaborates with Walmart International, which has over 5,900 retail units operating outside of the United States under 55 banners in 26 countries including Africa, Argentina, Canada, Central America, Chile, China, India, Japan, and Mexico, to name a few.
 
 
 
 What you'll do:
 
 
 <ul>
 <li>
 You are responsible for coding, unit testing, building high performance and scalable applications that meet the needs of millions of Walmart-International customers, in the areas of supply chain management &amp; Customer experience.
 </li>
 <li>
 You are expected to be more intellectually curious engineer who is passionate about domain/technology in general.
 </li>
 </ul>
 
 
 What you'll bring:
 
 
 <ul>
 <li>
 Backend engineering platform development.
 </li>
 <li>
 Experience in Java technologies, Distributed systems and large-scale application development and design.
 </li>
 <li>
 Strong knowledge of and experience with Big Data technologies such as Hadoop, Spark, and Kafka
 </li>
 <li>
 Hands on experience Kafka, Cassandra.
 </li>
 <li>
 Experience with a containerization technology and Microservice
 </li>
 <li>
 Well versed in CI/CD
 </li>
 <li>
 Work with Java, Multithreading, Data Structures, Algorithm, Design Patterns and develop robust high- performance and scalable applications.
 </li>
 <li>
 Extremely strong technical background with the capability of being hands-on and ability to mentor top individual technical talent.
 </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
 
 
 
 We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our 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
 
</div>

Software Engineer

Moniepoint Group

<div>
 Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria&rsquo;s largest merchant acquirer.
 
 
 
 Your Opportunity and Mission
 
 
 
 We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint&rsquo;s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models
 
 
 <ul>
 <li>
 Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing
 </li>
 <li>
 Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency
 </li>
 <li>
 Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models
 </li>
 <li>
 Design experiments and interpret the results to draw detailed and actionable conclusions
 </li>
 <li>
 Work in cross-functional teams across disciplines such as product, engineering and business.
 
 
 </li>
 </ul>
 
 You Have...
 
 
 
 <ul>
 <li>
 +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred.
 </li>
 <li>
 Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics
 </li>
 <li>
 Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation.
 </li>
 <li>
 Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling
 </li>
 <li>
 Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3
 </li>
 <li>
 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure.
 </li>
 <li>
 Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
 </li>
 <li>
 Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
 </li>
 <li>
 Excellent spoken and written English
 
 
 </li>
 </ul>
 
 What Moniepoint Can Offer You
 
 
 
 <ul>
 <li>
 The opportunity to drive financial inclusion and shape the future of the African financial ecosystem
 </li>
 <li>
 The chance to work on innovative and impactful projects
 </li>
 <li>
 A dynamic, diverse, and collaborative environment where every team member&rsquo;s voice is recognized and valued
 </li>
 <li>
 Flexible work arrangements
 </li>
 <li>
 Continuous learning and career growth opportunities
 </li>
 <li>
 Competitive salary, individual performance bonuses, and firmwide performance bonus
 </li>
 <li>
 Company covered health insurance plans
 </li>
 <li>
 Pension plans
 
 
 </li>
 </ul>
 
 What To Expect In The Hiring Process
 
 
 
 <ul>
 <li>
 A preliminary phone call with one of our recruiters
 </li>
 <li>
 A general interview with the Senior Manager of Marketing Strategy
 </li>
 <li>
 A case study-based discussion with SVP of Marketing
 </li>
 <li>
 A behavioural interview with members of the Executive team
 
 
 </li>
 </ul>
 Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.
</div>

Growth Data Scientist

Oracle

<div>
 
 Job Description
 
 
 
 At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.
 
 
 In the OCI AI Science org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. As a Data Scientist IV, you will lead the development of large-scale datasets and leverage machine learning and generative AI to advance Generative AI models. You will drive the design of benchmarking frameworks, define best practices for data quality and fairness, and partner with scientists, engineers, and product leaders to shape the org&rsquo;s data strategy.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the design, development, and scaling of large, high-quality datasets to advance generative AI models in multimodal domains (e.g., text, vision, speech).
 </li>
 <li>
 Define data standards and best practices for acquisition, cleaning, augmentation, annotation, and evaluation to ensure fairness, diversity, and representativeness.
 </li>
 <li>
 Guide the integration of cutting-edge techniques (e.g., fine-tuning, RLHF, domain adaptation) into data generation and model alignment pipelines.
 </li>
 <li>
 Provide technical leadership in building scalable, reliable data pipelines and synthetic data platforms for production environments.
 </li>
 <li>
 Evaluate and operationalize research innovations, shaping how data preparation and generative AI methods transition into production-ready solutions.
 </li>
 <li>
 Partner with research, engineering, and product leaders to define long-term data strategy and accelerate the adoption of generative AI solutions at scale.
 </li>
 <li>
 Mentor and provide thought leadership to scientists and engineers, fostering a culture of data excellence and innovation
 
 
 
 </li>
 </ul>
 
 Qualifications and Skills:
 
 
 
 <ul>
 <li>
 Bachelors or Master&rsquo;s in Computer Science, Data Science, AI/ML, or related field with 6+ years of industry experience.
 </li>
 <li>
 Proficiency in Python and solid foundation in applied ML methods.
 </li>
 <li>
 Proficiency with Pytorch, Torchvision, OpenCV, and similar, as well as building and deploying DNN models in production.
 </li>
 <li>
 Experience building large-scale data pipelines for acquisition, cleaning, augmentation, and validation.
 </li>
 <li>
 Ability to evaluate datasets for distribution, diversity, anomalies and fairness to assess overall quality and suitability for generative AI.
 </li>
 <li>
 Experience with Computer Vision, NLP, Transformers, Large Language Models, Generative AI, optimizations around LLM training and serving. Experience with Multimodal models a bonus.
 </li>
 <li>
 Familiarity with advanced techniques (e.g., RLHF, domain adaptation, data augmentation) and their application in generative AI workflows.
 </li>
 <li>
 Proven track record of delivering scalable, data-centric ML solutions.
 </li>
 <li>
 Excellent communication and leadership skills, with experience mentoring junior scientists/engineers and presenting technical strategies to senior stakeholders.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Career Level - IC4
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Data Scientist 4

SSTPath

<div>
 Please read the complete message and apply only when you are willing to sign 1-year bond. We have 20 confirmed positions for Software Development Trainee Engineer 1 with our esteemed clients across Bangalore, Pune, Chennai, Mumbai, Hyderabad, Delhi &amp; Gurgaon. We're Hiring Fresh Talent! Join Our Growing Tech Team (1-Year Bond / Service Commitment Required) We're actively seeking passionate Software Development Engineer Trainee candidates who graduated in the year 2024 or 2025 to join our dynamic technology team.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Get up to speed on Java/J2EE Technologies
 </li>
 <li>
 Understand Project specifications using Agile Methodology
 </li>
 <li>
 Develop REST API's using Java Spring Data JPA/Hibernate, Spring Cloud Gateway
 </li>
 <li>
 Work closely with the Angular team &amp; BAs for integrations.
 
 
 </li>
 </ul>
 About Company: SSTPath is more into Software Development &amp; Training &amp; Placements in open-source technologies, big data and devops areas along with helping industries to deliver the software with minimal cost.
</div>

Junior Java Developer in Bangalore, Mumbai, Hyderabad, Gurgaon, Pune, Chennai, Delhi

Enterprise Minds, Inc

<div>
 
 Job Title:
 
 Data Analyst
 
 
 
 Location:
 
 Bangalore, KA
 
 
 J
 
 ob Type:
 
 Full-Time
 
 
 
 About The Role
 
 
 
 Flipkart AuditPod team is looking for a skilled Data Engineer/Analyst with strong SQL and Python expertise to support audit operations, data-driven insights, and process automation. The role requires advanced query optimization, data transformations, and integration across multiple systems to deliver scalable and efficient audit solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and optimize complex SQL queries for large-scale datasets.
 </li>
 <li>
 Perform query optimization to improve performance and ensure efficient data retrieval.
 </li>
 <li>
 Work extensively with Python (Pandas) for file handling, data transformations, and table manipulations.
 </li>
 <li>
 Build and maintain Python scripts to automate workflows and audit-related processes.
 </li>
 <li>
 Integrate and test APIs using the Requests library, enabling seamless automation and data exchange.
 </li>
 <li>
 Collaborate with cross-functional teams to understand audit requirements and design scalable data solutions.
 </li>
 <li>
 Prepare audit-ready reports, dashboards, and data extracts as per business needs.
 </li>
 <li>
 Ensure data accuracy, consistency, and reliability across all processes.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Advanced SQL knowledge with hands-on experience in query optimization and building complex queries.
 </li>
 <li>
 Strong working experience with Python (Pandas) for handling structured and unstructured data.
 </li>
 <li>
 Proficiency in Python scripting and automation.
 </li>
 <li>
 Experience working with APIs and Python Requests library for integrations.
 </li>
 <li>
 Good to have: Knowledge of Hive or other big data query engines.
 </li>
 <li>
 Strong problem-solving and analytical skills with attention to detail.
 </li>
 <li>
 Ability to work in a fast-paced environment and handle multiple tasks simultaneously.
 
 
 </li>
 </ul>
 
 Good to Have
 
 
 
 <ul>
 <li>
 Exposure to big data platforms (Hive, Spark, etc.).
 </li>
 <li>
 Experience in audit, compliance, or e-commerce domain.
 </li>
 <li>
 Familiarity with dashboarding or reporting tools.
 </li>
 </ul>
</div>

Data Analyst

Explore 696+ Big data engineer in Mangaluru this October. Find roles across top companies and apply now to boost your career.