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software development engineer Jobs in Mangaluru

software development engineer

data pipeline engineer

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 3000000 - Rs 4000000 (ie INR 30-40 LPA)
 
 
 
 Min Experience: 5 years
 
 
 Location: Bengaluru
 
 
 JobType: full-timeWe are seeking an experienced
 
 Data Engineer
 
 to design, build, and maintain robust data pipelines and architectures that power analytics, interoperability, and data-driven decision-making across our healthcare ecosystem. The ideal candidate will have a strong background in
 
 Azure data services
 
 ,
 
 ETL development
 
 ,
 
 Databricks
 
 , and hands-on experience with
 
 FHIR (Fast Healthcare Interoperability Resources)
 
 standards. This role requires a mix of technical proficiency, problem-solving ability, and a deep understanding of healthcare data integration.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Data Pipeline Development: Design, develop, and optimize scalable ETL/ELT workflows to extract, transform, and load structured and unstructured healthcare data into Azure-based data platforms (e.g., Azure Data Lake, Azure Synapse, Databricks).
 </li>
 <li>
 FHIR Data Integration: Implement and manage FHIR-based data models and APIs for healthcare data interoperability. Ensure compliance with healthcare data standards and regulatory frameworks.
 </li>
 <li>
 Data Architecture &amp; Modeling: Develop logical and physical data models to support data warehousing, reporting, and analytics needs. Ensure data accuracy, integrity, and security across all stages of the data lifecycle.
 </li>
 <li>
 Databricks Development: Build and manage scalable data processing solutions using Azure Databricks. Optimize performance of large-scale data transformations using PySpark, SQL, or Scala.
 </li>
 <li>
 Data Quality &amp; Governance: Establish and maintain data quality frameworks, validation processes, and governance standards. Ensure consistent and compliant data handling across systems.
 </li>
 <li>
 Collaboration &amp; Stakeholder Management: Partner with data scientists, analysts, architects, and business teams to deliver reliable and accessible data assets. Translate business requirements into technical solutions.
 </li>
 <li>
 Performance Optimization: Monitor, troubleshoot, and enhance data pipelines for performance, scalability, and cost efficiency in the Azure environment.
 </li>
 <li>
 Documentation &amp; Best Practices: Maintain detailed documentation of architecture, data flows, and processes. Contribute to continuous improvement by implementing data engineering best practices and automation.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <li>
 Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
 </li>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Strong expertise in Azure Data Services - Azure Data Factory, Azure Synapse, Azure Data Lake, and Azure SQL.
 </li>
 <li>
 Hands-on experience with Databricks for data processing, transformation, and analytics.
 </li>
 <li>
 Proven ability to design and maintain ETL/ELT pipelines using modern data engineering tools and frameworks.
 </li>
 <li>
 Proficiency in SQL, Python, or Scala for data manipulation and automation.
 </li>
 <li>
 Solid understanding of FHIR standards, data schemas, and API integration for healthcare data exchange.
 </li>
 <li>
 Experience with data modeling, metadata management, and data governance frameworks.
 </li>
 <li>
 Familiarity with CI/CD, Git, and DevOps practices in data engineering environments.
 </li>
 <li>
 Experience: 5-10 years of professional experience in data engineering, with at least 2 years of exposure to healthcare or interoperability projects leveraging FHIR.
 </li>
 <li>
 Soft Skills:
 </li>
 <ul>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Ability to work in a fast-paced, agile environment with cross-functional teams.
 
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with HL7, CDA, or other healthcare interoperability standards.
 </li>
 <li>
 Exposure to machine learning data pipelines or advanced analytics environments.
 </li>
 <li>
 Azure certifications (e.g., Azure Data Engineer Associate) are a plus
 </li>
 </ul>
</div>

Data Engineer

Cognizant

<div>
 
 
 
 Note:
 
 
 
 Please apply only if you're available for
 
 
 
 walk-In interview
 
 
 
 on
 
 
 
 22nd November
 
 
 
 at
 
 
 
 Bangalore office (Manyata Tech park)
 
 
 
 
 
 
 
 
 Job Title:
 
 Data Engineer
 
 (PySpark + Databricks)
 
 
 
 
 
 
 
 Location:
 
 [Insert Location]
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Experience Level:
 
 4-12 years (adjust as needed)
 
 
 
 Role Overview
 
 
 
 We are seeking a skilled
 
 Data Engineer
 
 with strong experience in
 
 PySpark
 
 and
 
 Databricks
 
 to design, develop, and optimize large-scale data pipelines and solutions. The ideal candidate will work closely with data architects, analysts, and business stakeholders to ensure efficient data processing and integration across platforms.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and implement scalable
 
 ETL pipelines
 
 using
 
 PySpark
 
 on
 
 Databricks
 
 .
 </li>
 <li>
 Develop and maintain data workflows for structured and unstructured data.
 </li>
 <li>
 Optimize Spark jobs for performance and cost efficiency.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data from multiple sources.
 </li>
 <li>
 Ensure data quality, security, and compliance with organizational standards.
 </li>
 <li>
 Work with
 
 cloud platforms
 
 (Azure/AWS/GCP) for data storage and processing.
 </li>
 <li>
 Troubleshoot and resolve issues in data pipelines and workflows.
 </li>
 </ul>
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong proficiency in
 
 PySpark
 
 and
 
 Databricks
 
 .
 </li>
 <li>
 Hands-on experience with
 
 Spark SQL
 
 ,
 
 Delta Lake
 
 , and
 
 data lake architectures
 
 .
 </li>
 <li>
 Knowledge of
 
 cloud services
 
 (Azure Data Lake, AWS S3, or GCP equivalent).
 </li>
 <li>
 Familiarity with
 
 CI/CD pipelines
 
 and version control (Git).
 </li>
 <li>
 Experience with
 
 performance tuning
 
 in Spark environments.
 </li>
 <li>
 Good understanding of
 
 data modeling
 
 and
 
 data warehousing concepts
 
 .
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with
 
 Airflow
 
 ,
 
 Azure Data Factory
 
 , or similar orchestration tools.
 </li>
 <li>
 Knowledge of
 
 Python
 
 ,
 
 SQL
 
 , and
 
 REST APIs
 
 .
 </li>
 <li>
 Exposure to
 
 machine learning workflows
 
 on Databricks is a plus.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Information Technology, or related field.
 </li>
 </ul>
 
 
</div>

Software Engineer

Deloitte

<div>
 
 
 Your potential, unleashed.
 
 
 
 India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.
 
 
 At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
 
 
 
 
 
 
 The Team
 
 
 
 Deloitte&rsquo;s Technology &amp; Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence &amp; visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
 
 
 
 
 
 
 Work you&rsquo;ll do
 
 
 
 Total Experience - 7 to 11 Years
 
 
 Relevant Experience - 5+
 
 
 Location - Bangalore
 
 
 
 
 
 
 Roles and Responsibilities:
 
 
 
 The Data Engineer will work on data engineering projects for various business units, focusing on delivery of complex data management solutions by leveraging industry best practices. They work with the project team to build the most efficient data pipelines and data management solutions that make data easily available for consuming applications and analytical solutions. A Data engineer is expected to possess strong technical skills.
 
 
 
 
 
 
 Experience: -
 
 
 <ul>
 <li>
 Knowledge of and skills in various programming languages primarily Python
 </li>
 <li>
 Must have knowledge on Back-end frameworks, Pandas, Numpy, Matplotlib/Seaborn
 </li>
 <li>
 Thorough understanding of containers and functions. Deployment experience with Kubernetes (K8s) or Functions is highly desirable.
 </li>
 <li>
 Experience using Cloud Native CI/CD tools (Azure Pipelines/Circle CI/Jenkins X).
 </li>
 <li>
 Experience deploying workloads to AWS or Azure with strong knowledge and understanding of the cloud provider's API / associated services and infrastructure
 </li>
 <li>
 Experience in test driven development &amp; writing of unit and integration tests is a must
 </li>
 <li>
 Knowledge of other Cloud (Google Cloud Platform, Cloudera etc), and Integration services technologies is highly desirable.
 </li>
 <li>
 Experience working in agile teams with demonstrated application of the principles.
 </li>
 <li>
 Demonstrable proficiency in developing complex JavaScript applications.
 </li>
 <li>
 Experience of working with lean startup/agile development methodologies
 </li>
 <li>
 Strong analytical, problem-solving, and troubleshooting skills.
 </li>
 <li>
 Experienced with modern coding, testing, debugging and automation techniques.
 </li>
 <li>
 Rave about the benefits of CI/CD
 </li>
 <li>
 Have a high bar for user experience and quality.
 </li>
 <li>
 You are data driven and customer obsessed.
 </li>
 <li>
 Good communication skills.
 </li>
 </ul>
 
 
 
 
 
 Key Characteristics
 
 
 <ul>
 <li>
 Availability to solve production issues/taking ownership of interfaces deployed on prod etc
 </li>
 <li>
 Understanding in RDBMS and NoSQL databases (e.g., PostgreSQL, MongoDB).
 </li>
 <li>
 Ability to troubleshoot and resolve database issues.
 </li>
 <li>
 In-depth knowledge and experience in RESTful API interfaces.
 </li>
 <li>
 Comprehensive understanding of ETL processes from end-to-end.
 </li>
 <li>
 Technology champion who constantly pursues skill enhancement and has inherent curiosity to understand work from multiple dimensions.
 </li>
 <li>
 Interest and passion in Big Data technologies and appreciates the value that can be brought in with an effective data management solution.
 </li>
 <li>
 Has worked on real data challenges and handled high volume, velocity, and variety of data.
 </li>
 <li>
 Is proficient in designing data integrations and data processes across different types of architecture patterns using native cloud services, or custom application codes
 </li>
 <li>
 Excellent analytical &amp; problem-solving skills, willingness to take ownership and resolve technical challenges.
 </li>
 <li>
 Contributes to community building initiatives like CoE, CoP.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Mandatory Skills
 
 
 <ul>
 <li>
 Programming Languages: Proficiency in Python and PySpark is paramount. Should have knowledge of data processing using Pandas, Numpy and relevant libraries to handle data.
 </li>
 <li>
 Databases: Strong knowledge of SQL and NoSQL databases
 </li>
 <li>
 Big Data Technologies: Experience with frameworks like Apache Spark, Hadoop, and Kafka for processing large datasets
 </li>
 <li>
 Cloud Computing: Familiarity with cloud platforms like Azure(preferred)/AWS(good to have) and their data services (e.g., Data Factory, Databricks, Synapse, Redshift)
 </li>
 <li>
 ETL/ELT &amp; Data Warehousing: Expertise in designing and implementing ETL (Extract, Transform, Load) processes, and data modelling for efficient data warehousing
 </li>
 <li>
 Data Pipelines: Ability to develop, optimize, and maintain robust and scalable data pipelines
 </li>
 <li>
 Should have a good understanding of optimization techniques and able to resolve performance bottlenecks
 </li>
 <li>
 Knowledge of web frameworks and API is beneficial
 </li>
 </ul>
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there&rsquo;s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development
 
 
 Programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre.
 
 
 
 
 
 
 Benefits
 
 
 
 At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
 
 
 
 
 
 
 Our purpose
 
 
 
 Deloitte is led by a purpose:
 
 To make an impact that matters
 
 .
 
 
 Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work&mdash;always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world
 
 
 
 
 
 
 Interview tips
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.
 
</div>

Python Data Engineer

Oracle

<div>
 
 Job Description
 
 
 
 At Oracle Health, we put humans at the heart of every conversation. Our mission is to create a human-centric healthcare experience powered by unified global data. As a global leader we&rsquo;re looking for a Data Engineer with BI to join an exciting project for replacing existing Data warehouse systems with the Oracle's own data warehouse to manage storage of all the internal corporate data to provide insights that will help our teams to make critical business decisions Join us and create the future!
 
 
 
 Responsibilities
 
 
 
 Career Level - IC3
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Proficient in writing and optimising SQL queries for data extraction
 </li>
 <li>
 Translate client requirements to technical design that junior team members can implement
 </li>
 <li>
 Developing the code that aligns with the technical design and coding standards
 </li>
 <li>
 Review design and code implemented by other team members. Recommend better design and efficient code
 </li>
 <li>
 Conduct Peer design and Code Reviews for early detection of defects and code quality
 </li>
 <li>
 Documenting ETL processes and data flow diagrams
 </li>
 <li>
 Optimizing data extraction and transformation processes for better performance
 </li>
 <li>
 Performing data quality checks and debugging issues
 </li>
 <li>
 Conducting root cause analysis for data issues and implementing fixes
 </li>
 <li>
 Collaborating with more experienced developers on larger projects, collaborate with stakeholders on the requirements
 </li>
 <li>
 Participate in the requirements, design and implementation discussions
 </li>
 <li>
 Participating in learning and development opportunities to enhance technical skills
 </li>
 <li>
 Test storage system after transferring the data
 </li>
 <li>
 Exposures to Business Intelligence platforms like OAC, Power BI or Tableau
 
 
 
 </li>
 </ul>
 Technical Skills Set :
 
 
 <ul>
 <li>
 You must be strong in PLSQL concepts such as tables, keys, DDL, DML commands, etc.
 </li>
 <li>
 You need be proficient in writing, debugging complex SQL queries, Views and Stored Procedures.
 </li>
 <li>
 Strong hands on in Python / PySpark programming
 </li>
 <li>
 As a Data Engineer, you must be strong in data modelling, ETL / ELT concepts, programming / scripting Python language,
 </li>
 <li>
 You must be proficient in the following ETL process automation tools
 
 
 
 </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 
 
 <ul>
 <li>
 Oracle Data Integrator (ODI)
 
 
 
 </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 
 
 <ul>
 <li>
 Oracle Data Flow
 
 
 
 </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 
 
 <ul>
 <li>
 Oracle Database / Autonomous Data warehouse
 </li>
 <li>
 Should possess working knowledge in any of the cloud platform like Oracle Cloud (Preferred), Microsoft Azure, AWS
 </li>
 <li>
 You must be able to create technical design, build prototypes, build and maintain high performing data pipelines, optimise ETL pipelines
 </li>
 <li>
 Good knowledge on Business Intelligence development tools like OAC, PowerBI
 </li>
 <li>
 Good to have Microsoft ADF and Data Lakes, Databricks
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Career Level - IC3
 
 
 
 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>

Software Developer 3

KPMG India

<div>
 
 
 Functional Skills
 
 
 <ul>
 <li>
 Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
 </li>
 <li>
 Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.
 </li>
 <li>
 Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.
 </li>
 <li>
 Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.
 </li>
 <li>
 Remaining up to date with developments in technology and industry norms can help you to produce higher-quality results.
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Analyze large datasets to derive actionable insights and support decision-making processes.
 </li>
 <li>
 Develop and maintain data pipelines using PySpark and other data processing tools.
 </li>
 <li>
 Write efficient SQL queries to extract, transform, and load data from various sources.
 </li>
 <li>
 Implement data models and schemas to organize and optimize data storage and retrieval.
 </li>
 <li>
 Perform data normalization and denormalization to ensure data integrity and accessibility.
 </li>
 <li>
 Collaborate with data engineers to centralize and manage data assets.
 </li>
 <li>
 Ensure data quality through validation and cleansing processes.
 </li>
 <li>
 Utilize CI/CD pipelines to streamline data deployment and maintain continuous integration.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Proven experience in data analytics and working with large datasets.
 </li>
 <li>
 Proficiency in Python, including libraries such as Pandas and Numpy for data manipulation.
 </li>
 <li>
 Strong SQL skills for querying and managing databases.
 </li>
 <li>
 Experience with PySpark for large-scale data processing.
 </li>
 <li>
 Basic understanding of Hadoop and its ecosystem.
 </li>
 <li>
 Familiarity with data engineering concepts and best practices.
 </li>
 <li>
 Knowledge of data modeling, including schemas, normalization, and denormalization techniques.
 </li>
 <li>
 Understanding of data centralization, cardinality, and data quality principles.
 </li>
 <li>
 Good to have experience in CI/CD pipelines and tools
 </li>
 </ul>
 
 
 Banking
 
 
 <ul>
 <li>
 Deep understanding of banking operations, financial products, and regulatory frameworks
 </li>
 <li>
 Experience with data modeling, ETL processes, and statistical analysis
 </li>
 <li>
 Prior experience in retail or corporate banking analytics
 </li>
 <li>
 Analyze banking data including customer transactions, loan performance, and financial statements
 </li>
 <li>
 Support credit risk analysis and fraud detection initiatives
 </li>
 <li>
 Maintain and optimize banking databases and data pipelines
 </li>
 </ul>
 
 
</div>

Data Analyst

Intuit

<div>
 
 
 
 Staff Software Engineer - C# .NET
 
 
 
 
 
 
 
 
 Overview
 
 
 
 We are looking for a
 
 Staff Software Engineer
 
 to help us build and evolve the core backend systems that power our next-generation tax platform. This role is ideal for someone who thrives at the intersection of
 
 high-scale backend engineering
 
 , and
 
 language runtime integration
 
 .
 
 
 You will work on the systems that underpin our business-critical tax calculation engines, contributing to the scalability, reliability, and performance of services that support critical tax logic execution.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Designs, develops, tests, deploys, maintains, and improves software solutions.
 </li>
 <li>
 Solves complex problems by leveraging a variety of technologies.
 </li>
 <li>
 Driven to achieve results and committed to producing high-quality code.
 </li>
 <li>
 Leads the process of gathering functional requirements, developing technical specifications, and managing project and test plans.
 </li>
 <li>
 Demonstrates a strong interest and aptitude for learning new coding languages as necessary.
 </li>
 <li>
 Functions as a technical leader and domain expert, beginning to shape technology and product strategy. Makes informed decisions at a local level, considering both immediate and long-term implications, as well as business impact.
 </li>
 <li>
 Utilizes data to inform product and technical decisions within their area of responsibility.
 </li>
 <li>
 Enhances team knowledge, skills, and engagement through collaborative technical workshops and other relevant forums.
 </li>
 <li>
 Collaborate with compiler/runtime engineers and AI/ML teams to support intelligent language tooling.
 </li>
 <li>
 Mentors and evaluates engineers, actively fostering and sustaining a robust talent pipeline. Regularly participates in performance reviews and calibration sessions.
 </li>
 <li>
 A quick and eager learner who actively seeks opportunities to contribute to other Intuit codebases and open-source projects.
 </li>
 <li>
 Possesses expertise in cloud technologies and in architecting and delivering highly scalable and resilient systems.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 10+ years of professional experience in backend or systems-level software development.
 </li>
 <li>
 Proven experience building
 
 scalable, distributed backend systems
 
 in production environments.
 </li>
 <li>
 Strong
 
 designing and developing Desktop solutions expertise
 
 using Delphi 12, XE5, , C#, .Net and related technologies
 </li>
 <li>
 Experience with
 
 Desktop Applications Development (WPF, WCF, Winforms).
 
 </li>
 <li>
 Strong knowledge and hands on experience on scripting languages like React JS is preferred.
 </li>
 <li>
 Experience in developing and deploying code to production on AWS and providing analytics and monitoring for the application.
 </li>
 <li>
 Deep understanding of building highly available infrastructure using public cloud technologies and native services.
 </li>
 <li>
 Low-level experience with JVM, CLR, or other language runtime environments.
 </li>
 <li>
 Solid understanding of performance optimization, multithreading, memory management, and networking.
 </li>
 <li>
 Experience with modern CI/CD pipelines, observability tools, and DevOps best practices.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Exposure to compiler or interpreter internals is a plus, but not required.
 </li>
 <li>
 Familiarity with containerized environments (Docker, Kubernetes) and cloud platforms.
 </li>
 <li>
 Knowledge of language tooling, custom DSLs, or domain-specific platforms is a bonus.
 </li>
 <li>
 Strong communication skills and a collaborative, growth-oriented mindset.
 </li>
 </ul>
 
 
</div>

Staff Software Engineer

KaleidEO

<div>
 
 
 Work with the brightest minds, including ex-ISRO scientists and global space industry experts, at one of the select few companies in the country pioneering cutting edge EO payloads.
 
 
 
 
 
 
 Seeking an Image Processing Scientist to contribute to the development of high-performance image processing pipelines for satellite optical sensors, utilizing advanced algorithms to drive real-time analysis.
 
 
 
 
 
 
 
 About KaleidEO
 
 
 
 
 
 
 
 KaleidEO, a subsidiary of SatSure, is an upstream leader in Earth Observation, building a full-stack company from India. As an 'analytics-first' payload innovator, we specialize in building next-gen, high-resolution, multispectral payloads with edge computing and wide coverage capabilities.
 
 
 
 
 
 Rooted in SatSure&rsquo;s legacy of building applications across sectors like Utilities, Agriculture, Aviation, BFSI, and Climate Action, we also provide end-to-end EO solutions, from payload development and launch to mission operations and data analytics.
 
 
 
 
 
 At KaleidEO, we are shaping the future of Earth Observation and putting Indian space tech on the global map. If you thrive on challenges and are passionate about pushing the boundaries of image processing, this is your calling!
 
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 
 <ul>
 <li>
 To assist in developing and optimizing algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To assist in designing and implementing efficient image processing pipelines for satellite optical sensor data.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery (e.g., DEM/DSM, change detection).
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To assist in developing solutions for cloud-based processing to handle large-scale satellite data efficiently..
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 To participate in quality assurance practices to ensure high-quality image products.
 </li>
 <li>
 To maintain thorough documentation of the pipeline architecture, algorithms, processes, and development timelines, and report progress to key stakeholders.
 </li>
 </ul>
 
 
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelors or Master&rsquo;s degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field.
 </li>
 <li>
 Preferably 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data.
 </li>
 </ul>
 
 
 
 
 
 
 Must-Have:
 
 
 
 <ul>
 <li>
 Proficiency in image processing and computer vision algorithms.
 </li>
 <li>
 Strong programming skills in Python, with experience using libraries like OpenCV, GDAL.
 </li>
 <li>
 Understanding of satellite optical sensors and their processing challenges.
 </li>
 </ul>
 
 
 
 
 
 
 Good to Have:
 
 
 
 <ul>
 <li>
 Experience with machine learning techniques for image analysis.
 </li>
 <li>
 Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS).
 </li>
 </ul>
 
 
 
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Cover for you and your family including unlimited online doctor consultations.
 </li>
 <li>
 We believe family comes first. That&rsquo;s why we offer Maternity, Paternity, Marriage and Bereavement Leave, so you can be there when it matters most.
 </li>
 <li>
 We ensure every member of the team gets an opportunity to participate at international events and conferences.
 </li>
 <li>
 Access to mental health experts for you and your family.
 </li>
 <li>
 Dedicated allowances for learning and skill development.
 </li>
 <li>
 Twice a year appraisal.
 </li>
 </ul>
 
 
 
 
 
 
 Interview Process:
 
 
 
 <ul>
 <li>
 Coding Round
 </li>
 <li>
 Introductory call
 </li>
 <li>
 Panel Interview rounds ( 2 rounds)
 </li>
 <li>
 Culture Round / HR round
 </li>
 </ul>
 
 
 
 
 No of positions: 1
 
 
 Expected Month of Joining: February / March 2026
 
</div>

Image Processing Scientist

Explore 331+ Data pipeline engineer in Mangaluru this November. Find roles across top companies and apply now to boost your career.