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software development engineer Jobs in Mangaluru

software development engineer

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Kobie

<div>
 
 Join our India Tech Hub &ndash; Be among the first hires!
 
 
 
 Kobie, a 35-year veteran of the loyalty industry, a multi-year Forrester Leader, and USA Top Workplace is expanding its global footprint by establishing a Tech Hub in India. Kobie partners with global brands to build deep connections with their customers through personalized, data-driven loyalty experiences and has a mission of growing enterprise value through loyalty. The Tech Hub will serve as a Global Capabilities Center for a broad range of technology roles, and this is your chance to play a pivotal role in shaping our presence in India. Join us as we continue to lead in loyalty, delivering innovative customer experiences for some of the world&rsquo;s most recognized brands while working alongside some of the best and brightest in loyalty.
 
 
 
 About The Team And What We Will Build Together
 
 
 
 We find actionable insights in our clients&rsquo; loyalty data that helps drive enterprise value. We create real time dashboards to inform internal and external stakeholders..
 
 
 As a Data Engineer at Kobie, you will play a vital role within our data engineering team. Your expertise will be instrumental in implementing ETL/ELT processes and data integrations, populating Kimball style star schemas from a diverse range of data sources across multiple data warehouse implementations in support of our product. Your involvement will extend from requirements gathering to designing business processes and dimensional models. Your profound comprehension of OLTP, Data Vault, and star schemas will be crucial as you delve into source data analysis to assess its potential in addressing business needs. Your objective will be to create scalable, efficient, auditable, and as much as possible, reusable processes.
 
 
 
 How You Will Make An Impact
 
 
 
 <ul>
 <li>
 Ensure seamless production support of daily running ETL/ELT processes
 </li>
 <li>
 Develop, design, optimize, and maintain ETL/ELT processes.
 </li>
 <li>
 Conduct data profiling, and source to target mappings, capturing ETL and business metadata for populating Kimball style dimensional models.
 </li>
 <li>
 Design automated tests and audit logging processes for every stage of our data pipelines.
 </li>
 <li>
 Document ETL processes comprehensively including process flow diagrams.
 </li>
 <li>
 Conduct functional and performance testing to identify bottlenecks and data quality issues.
 </li>
 <li>
 Implement slowly changing dimensions as well as transaction, accumulating snapshot, and periodic snapshot fact tables.
 
 
 </li>
 </ul>
 
 What You Need To Be Successful
 
 
 
 <ul>
 <li>
 0-5 years of Data Engineering experience, with a minimum of 2 operating in Snowflake.
 </li>
 <li>
 Deep understanding of Modern Cloud Data Platforms (data sharing, data clean rooms, marketplace).
 </li>
 <li>
 Understanding of Change Data Capture and how data should flow from OLTP database systems, ELT architecture and design
 </li>
 <li>
 The ability to work independently across multiple projects, communicating effectively to internal data stakeholders across the organization.
 </li>
 <li>
 Understanding of Kimball style data marts and how they fit into Lakehouse design principles.
 </li>
 <li>
 The ability to integrate with a wide range of data sources, including APIs messaging systems to capture and normalize streaming data
 </li>
 <li>
 Possess the ability to design data pipelines from end to end.
 </li>
 <li>
 Understanding of Software Development Life Cycle (SDLC) and Agile Development processes.
 </li>
 <li>
 Deep understanding of Event Driven Architectures, how they impact Data Pipeline designs and integrations
 </li>
 <li>
 Cloud Experience with Azure, AWS preferred
 </li>
 <li>
 Proficient in scripting languages such as Python, SQL.
 </li>
 <li>
 Experience with orchestration tools like Apache Airflow, Matillion is preferred.
 </li>
 <li>
 Event streaming with Kafka
 </li>
 <li>
 Experience in batch processing
 </li>
 <li>
 Experience in any of vector databases
 
 
 </li>
 </ul>
 
 About Kobie
 
 
 
 Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We&rsquo;re always looking for talented individuals ready to join a collaborative, growth-focused culture.
 
 
 As a trusted partner to some of the world&rsquo;s most recognized brands, we are loyalty leaders, helping brands build lasting emotional connections with their consumers.  We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level.As we launch our India Tech Hub, we are excited to bring our award-winning culture to a new region - creating an environment where collaboration, flexibility, and career growth come together to build something truly special.
 
 
 We are proud to be the only loyalty provider to be externally recognized for their culture. We believe people thrive when they feel valued, supported, and empowered to be their authentic selves. Our commitment to diversity, equity, and inclusion ensures every teammate has a voice and the opportunity to be heard.
 
 
 Giving back is in our DNA at Kobie,through an annual fundraiser, charitable partnerships, and volunteer opportunities, we encourage our teammates to make a difference in their communities.
 
 
 To support our teammates beyond just their careers, we offer highly competitive benefits, comprehensive health coverage, and well-being perks that support our teammates and their dependents. We understand the importance of time for life outside of work - recognizing public holidays,offering flexible time off, and prioritizing work-life balance.
 
 
 As we expand into India, our new teammates will be fully integrated with our U.S. teams, working on global projects and gaining exposure to top industry leaders. With continued growth, we will establish a physical office in Bengaluru, India, giving teammates aspace for collaboration and fostering connection.
 
 
 Now is the perfect time to join Kobie. Be part of something big and help shape the future of our global capabilities center, the Kobie India Tech Hub.
</div>

Data Engineer

Capgemini

<div>
 
 
 Primary Skill: Palantir Foundry Platform expertise - Primary
 
 
 
 
 Python, PySpark
 
 
 
 
 Data Handling: SQL, ETL/ELT workflows, data modelling, validation
 
 
 
 
 
 
 
 
 
 
 Job Description:
 
 Responsibilities:
 
 <ul>
 <li>
 Develop and maintain data pipelines using Python, Pyspark, and SQL for data transformations and workflows in Foundry.
 </li>
 <li>
 Build user interfaces, dashboards, and visualizations within Foundry&rsquo;s Workshop application for data analysis and reporting.
 </li>
 <li>
 Collaborate with stakeholders including data engineers, business analysts, and business users to gather requirements, design solutions, and ensure project success.
 </li>
 <li>
 Ensure data quality and performance by implementing validation, testing, and monitoring processes.
 </li>
 <li>
 Contribute to the Foundry ecosystem through code reviews, documentation, and sharing best practices to strengthen overall platform adoption and success.
 </li>
 </ul>
 
 Skills and Qualifications:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, or a related field; advanced degree preferred.
 </li>
 <li>
 Palantir Foundry Expertise: Hands-on experience with Foundry components such as Workshop, Code Repositories, Pipeline Builder, and Ontology.
 </li>
 <li>
 Programming Skills: Proficiency in Python and Pyspark for data manipulation and pipeline development.
 </li>
 <li>
 Database Knowledge: Strong SQL skills for data extraction, transformation, and query optimization.
 </li>
 <li>
 Data Engineering Background: Experience with ETL/ELT workflows, data modeling, and validation techniques.
 </li>
 <li>
 Cloud Platform Familiarity: Exposure to GCP, AWS or Azure is preferred.
 </li>
 <li>
 Collaboration and Communication: Strong interpersonal and communication skills to work effectively with technical and non-technical stakeholders.
 </li>
 </ul>
 
 
</div>

Software Engineer

Infosys

<div>
 
 
 Location
 
 - PAN India
 
 
 
 
 
 
 Role
 
 -
 
 SimCorp Dimension Integration Consultant
 
 
 
 
 Educational Qualification
 
 -
 
 Any Graduate (Preferably graduated in IT)
 
 
 
 
 
 
 
 Detailed Job Description
 
 
 <ul>
 <li>
 Practical knowledge of SCD and experience with integration including Communication Server, DEX, Filter toolbox (including DFS),
 </li>
 <li>
 Experience in implementation projects in relation to systems integration - integration area (ideal if it involves working with any integration bus), modifying existing interfaces / creating new ones
 </li>
 <li>
 Configuration of ETL tools
 </li>
 <li>
 Working with configuration of any connection type such as SFTP, API, message queue (e.g., IBM WebSphere)
 </li>
 <li>
 Experience with data imports, data transformations, and data exports
 </li>
 <li>
 Practical knowledge of XML/XSLT and other data transformation standards
 </li>
 <li>
 Experience in working with SQL and relational databases
 </li>
 <li>
 Ability to analyse complex data and information
 </li>
 <li>
 Ability to work under own initiative
 </li>
 <li>
 Good communication skills (written and verbal)
 </li>
 <li>
 Experience with working in an international environment with daily use of English
 </li>
 <li>
 Degree in studies related to Computer Science, Business Administration or Finance
 </li>
 <li>
 Knowledge of the phases of the software implementation full life cycle
 </li>
 </ul>
 
 Key Responsibilities-
 
 <ul>
 <li>
 Practical knowledge of SCD and experience with integration including Communication Server, DEX, Filter toolbox (including DFS),
 </li>
 <li>
 Experience in implementation projects in relation to systems integration - integration area (ideal if it involves working with any integration bus), modifying existing interfaces / creating new ones
 </li>
 <li>
 Configuration of ETL tools
 </li>
 <li>
 Working with configuration of any connection type such as SFTP, API, message queue (e.g., IBM WebSphere)
 </li>
 <li>
 Experience with data imports, data transformations, and data exports
 </li>
 <li>
 Practical knowledge of XML/XSLT and other data transformation standards
 </li>
 <li>
 Experience in working with SQL and relational databases
 </li>
 <li>
 Ability to analyse complex data and information
 </li>
 <li>
 Ability to work under own initiative
 </li>
 <li>
 Good communication skills (written and verbal)
 </li>
 <li>
 Experience with working in an international environment with daily use of English
 </li>
 <li>
 Degree in studies related to Computer Science, Business Administration or Finance
 </li>
 <li>
 Knowledge of the phases of the software implementation full life cycle
 </li>
 </ul>
 
 
 
 
 Total Exp- 10 years
 
 
 Location: Mumbai/Remote
 
 
 
</div>

Lead Consultant

Delta Air Lines

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Pipeline Development and Maintenance:
 
 
 <ul>
 <li>
 Build and optimize scalable ETL/ELT pipelines to ingest data from diverse sources such as APIs, cloud platforms, and databases.
 </li>
 <li>
 Ensure pipelines are robust, efficient, and capable of handling large volumes of data.
 </li>
 </ul>
 
 
 
 
 
 Data Integration and Harmonization:
 
 
 <ul>
 <li>
 Implement data transformation and enrichment processes to support analytics and reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Data Quality and Monitoring:
 
 
 <ul>
 <li>
 Troubleshoot and resolve issues related to data quality, latency, or performance.
 </li>
 </ul>
 
 
 
 
 
 Collaboration with Stakeholders:
 
 
 <ul>
 <li>
 Provide technical support and guidance on data-related issues or projects.
 </li>
 </ul>
 
 
 
 
 
 Tooling and Automation:
 
 
 <ul>
 <li>
 Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
 </li>
 <li>
 Maintain and optimize existing workflows while continuously identifying opportunities for improvement.
 </li>
 </ul>
 
 
 
 
 
 Documentation and Best Practices:
 
 
 <ul>
 <li>
 Document pipeline architecture, data workflows, and processes for both technical and non-technical audiences.
 </li>
 <li>
 Follow industry best practices for version control, security, and data governance.
 </li>
 </ul>
 
 
 
 
 
 Continuous Learning and Innovation:
 
 
 <ul>
 <li>
 Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
 </li>
 <li>
 Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed (minimum qualifications):
 
 
 <ul>
 <li>
 Bachelor of Science degree in Computer Science or equivalent
 </li>
 <li>
 At least 3+ years of experience as a data engineer developing and maintaining data pipelines
 </li>
 <li>
 Strong experience with databases and data platforms (AWS preferred)
 </li>
 <li>
 Proficiency in Python, SQL, PySpark
 </li>
 <li>
 Experience in Data Quality, Data Modeling, Data Analytics/BI, Data Enrichment.
 </li>
 <li>
 Understanding of concepts such as normalization, SCD (Slowly changing dimensions) and CDC (Change data capture)
 </li>
 <li>
 Experience in working on streaming event platforms such as Kafka/Kinesis
 </li>
 <li>
 Knowledge of non-relational databases
 </li>
 <li>
 Preferable experience in DBT for data transformation and modeling.
 </li>
 <li>
 Good understanding of data warehouses, ETL/ELT, AWS architecture (using Glue, SQS, SNS, S3, step functions etc.,)
 </li>
 <li>
 Understanding of orchestration tools such as Airflow
 </li>
 <li>
 Ability to create clean, well-designed code and systems
 </li>
 <li>
 Strong attention to detail and a commitment to data accuracy.
 </li>
 <li>
 Proven ability to learn new data models quickly and apply them effectively in a fast-paced environment.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 </ul>
</div>

Data Engineer [T500-19944]

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Data Pipeline Development and Maintenance:
 
 
 <ul>
 <li>
 Build and optimize scalable ETL/ELT pipelines to ingest data from diverse sources such as APIs, cloud platforms, and databases.
 </li>
 <li>
 Ensure pipelines are robust, efficient, and capable of handling large volumes of data.
 </li>
 </ul>
 
 
 
 
 
 Data Integration and Harmonization:
 
 
 <ul>
 <li>
 Implement data transformation and enrichment processes to support analytics and reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Data Quality and Monitoring:
 
 
 <ul>
 <li>
 Troubleshoot and resolve issues related to data quality, latency, or performance.
 </li>
 </ul>
 
 
 
 
 
 Collaboration with Stakeholders:
 
 
 <ul>
 <li>
 Provide technical support and guidance on data-related issues or projects.
 </li>
 </ul>
 
 
 
 
 
 Tooling and Automation:
 
 
 <ul>
 <li>
 Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
 </li>
 <li>
 Maintain and optimize existing workflows while continuously identifying opportunities for improvement.
 </li>
 </ul>
 
 
 
 
 
 Documentation and Best Practices:
 
 
 <ul>
 <li>
 Document pipeline architecture, data workflows, and processes for both technical and non-technical audiences.
 </li>
 <li>
 Follow industry best practices for version control, security, and data governance.
 </li>
 </ul>
 
 
 
 
 
 Continuous Learning and Innovation:
 
 
 <ul>
 <li>
 Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
 </li>
 <li>
 Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed (minimum qualifications):
 
 
 <ul>
 <li>
 Bachelor of Science degree in Computer Science or equivalent
 </li>
 <li>
 At least 2+ years of experience as a data engineer developing and maintaining data pipelines
 </li>
 <li>
 Strong experience with databases and data platforms (AWS preferred)
 </li>
 <li>
 Proficiency in Python, SQL, PySpark
 </li>
 <li>
 Experience in Data Quality, Data Modeling, Data Analytics / BI, Data Enrichment.
 </li>
 <li>
 Understanding of concepts such as normalization, SCD (Slowly changing dimensions) and CDC (Change data capture)
 </li>
 <li>
 Experience in working on streaming event platforms such as Kafka / Kinesis
 </li>
 <li>
 Knowledge of non-relational databases
 </li>
 <li>
 Preferable experience in DBT for data transformation and modeling.
 </li>
 <li>
 Good understanding of data warehouses, ETL / ELT, AWS architecture (using Glue, SQS, SNS, S3, step functions etc.,)
 </li>
 <li>
 Understanding of orchestration tools such as Airflow
 </li>
 <li>
 Ability to create clean, well-designed code and systems
 </li>
 <li>
 Strong attention to detail and a commitment to data accuracy.
 </li>
 <li>
 Proven ability to learn new data models quickly and apply them effectively in a fast-paced environment.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 </ul>
</div>

Data Engineer [T500-19942]

Sonata Software

<div>
 
 
 J.D- .Net Fullstack Developer
 
 
 
 
 
 
 
 Job Title:
 
 Full Stack Developer &ndash; .NET Core, RXJS, Angular 14+ &amp; Azure APP Service
 
 
 
 Location:
 
 Chennai/Bangalore/Hyderabad
 
 
 
 Job Type:
 
 Hybrid
 
 
 
 Experience Level:
 
 3&ndash;8 Years
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a skilled and proactive Full Stack Developer with expertise in
 
 .NET Core
 
 ,
 
 Angular
 
 , and
 
 Web API
 
 , to join our growing team. The ideal candidate will have experience building scalable applications using Microsoft technologies and deploying them on
 
 Azure App Services
 
 . Experience with
 
 Entity Framework
 
 ,
 
 SQL
 
 , and general cloud concepts will be beneficial to succeed in this role.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, test, and deploy secure and scalable web applications using
 
 .NET Core
 
 and
 
 Angular
 
 .
 </li>
 <li>
 Build and maintain RESTful
 
 Web APIs
 
 for data integration and communication.
 </li>
 <li>
 Develop, deploy, and manage applications using
 
 Azure App Service
 
 .
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and deliver new features.
 </li>
 <li>
 Write clean, maintainable, and efficient code with proper documentation.
 </li>
 <li>
 Perform code reviews and unit testing to ensure high software quality.
 </li>
 <li>
 Optimize application performance and troubleshoot issues across environments.
 </li>
 <li>
 Maintain databases using
 
 Entity Framework
 
 and
 
 SQL Server
 
 .
 </li>
 <li>
 Participate in agile ceremonies and contribute to continuous improvement processes.
 </li>
 </ul>
 
 
 
 
 
 Required Skills (Primary):
 
 
 <ul>
 <li>
 Proficiency in
 
 .NET Core
 
 (C#)
 </li>
 <li>
 Strong experience with
 
 Angular
 
 (version 8+ preferred)
 </li>
 <li>
 Hands-on experience with
 
 RESTful Web API
 
 development
 </li>
 <li>
 Experience with
 
 Azure App Services
 
 and deployment pipelines
 </li>
 </ul>
 
 
</div>

Infogain

<div>
 
 
 Job Summary:
 
 
 
 We are seeking a skilled Middleware Developer (Lead) to oversee and guide our middleware development team. The ideal candidate will be responsible for leading the team in delivering high-quality, scalable middleware solutions that align with business requirements. This role requires strong technical expertise, leadership skills, and the ability to collaborate effectively with cross-functional teams and stakeholders.
 
 
 
 
 
 
 Required Skills and Experience:
 
 
 <ul>
 <li>
 Proven experience as a Middleware Developer with leadership responsibilities.
 </li>
 <li>
 Expertise in IBM ODM (Operational Decision Manager) and Jules technologies.
 </li>
 <li>
 Strong knowledge of middleware architecture and development best practices.
 </li>
 <li>
 Experience working in the Airlines domain or with airline-related business processes is highly desirable.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Ability to manage multiple priorities in a fast-paced environment.
 </li>
 </ul>
 
 
</div>

Explore 57+ Etl developer in Mangaluru this October. Find roles across top companies and apply now to boost your career.

57 etl developer jobs IN Mangaluru

Data Engineer

Software Engineer

Lead Consultant

Data Engineer [T500-19944]

Data Engineer [T500-19942]

Software Engineer

Software Engineer