Work From Home Software Engineer Jobs

We are looking for a motivated Data Processing Engineer to join our team. This part-time role is perfect for freshers who are eager to learn and grow in the field of data management. You will work from home, contributing to our data processing needs.

Designation: Senior .Net DeveloperLocation: Delhi NCR / Remote/Work Mode: RemoteShift: UK Shift 1pm- 11 PMJob DescriptionQualifications/Experience: BTech (Comp Science)/BCA MTech (Comp Science)/MCA Experience: - 7+ Years of .Net framework, ASP.Net, MVC, Webforms Must have DevOps experience including CI/CD pipelines. Clear understand of web development life cycle. Understand of server side and client-side concepts Experience working in an Agile software development environment. Strong JavaScript experience including Bootstrap, HTML, and CSS In-depth knowledge of SQL Server databases Experience with test automation software (xUnit / NUnit / MSTest) Hands on object orientated programming knowledge and knowledge of softwarearchitectural patterns. Good understanding of SOLID development principles Good understanding of cloud-based architecture Track record of successful software delivery Excellent English communication skillsJob responsibilities Hands on experience with as many as possible of the following: ASP.NET,ASP.NET Core, C#, CSS, AWS cloud and associated technologies, Web andMicro services architecture, MSMQ, single sign-on design and implementation,object-oriented design patterns, RestFul API's and Webhooks, SQL Server Experience of working in a DevOps environment supporting and contributing toagile software delivery essential Must be able to work with GIT and MsAzure Devops Exposure to financial modelling, if possible Participate in peer code review, identify technical impacts, carry out debugging,enhance system performance, deliver clean and efficient code. Database knowledge including optimizing stored procedure and understandQuery Execution Plan Able to translate end user/stakeholder requirements into detailedtechnical/architectural specifications when appropriate and turn it int o robustsolutions. Strong experience of technical and architectural design with large-scale webapplications. In-depth understanding of non-functional requirements such as security andscalability. Proven ability to collaborate successfully with client and 3rd partytechnical teams.Roles & ResponsibilitiesAdditional responsibilities of the role Designing and developing applications in close consultation with SME's, BSA's,and clients Providing guidance and take the ownership on the overall technical architectureof the team's solutions, design decisions and principles Keeping abreast of the latest tools, techniques and best practice in softwareengineering and helping the team adopt best practice as appropriate Have a thirst to try and test latest technologies Producing functional, technical and design documentation where necessaryincluding the ownership of technical design and architectureAbout you Initiate with a 'can do' approach Can deliver independently Motivated self-starter, able to demonstrate genuine passion and drive Strong communication and interpersonal skills Ability to prioritise and juggle conflicting demands Can work and deliver under pressure Has the ambition to grow with the fintech organisation Consideration of internal and external constraints on projects Consideration of future requirements

Key Responsibilities Model Development: Lead the design and development of quantitative data engineeringmodels, including algorithms, data pipelines, and data processing systems, to supportbusiness requirements. Data Processing: Develop and maintain data processing pipelines to ingest, clean,transform, and aggregate large volumes of data from various sources, ensuring dataquality and reliability. Algorithm Development: Design and implement algorithms for data analysis, machinelearning, and statistical modeling, using techniques such as regression analysis,clustering, and predictive modeling. Performance Optimization: Identify and implement optimizations to improve theperformance and efficiency of data processing and modeling algorithms, consideringfactors like scalability and resource utilization. Data Visualization: Create visualizations of data and model outputs to communicateinsights and findings to stakeholders. Data Quality Assurance: Implement data quality checks and validation processes toensure the accuracy, completeness, and consistency of data used in models andanalyses. Model Evaluation: Evaluate the performance of data engineering models using metricsand validation techniques, and iterate on models to improve their accuracy andeffectiveness. Collaboration: Collaborate with data scientists, analysts, and business stakeholders tounderstand requirements, develop models, and deliver insights that drive businessdecisions. Documentation: Document the design, implementation, and evaluation of dataengineering models, including assumptions, methodologies, and results, to ensurereproducibility and transparency. Continuous Learning: Stay updated with the latest trends, tools, and technologies inquantitative data engineering and data science, and continuously improve your skillsand knowledge.Desired Skills and Experience Data Engineering: Strong background in data engineering principles, including dataingestion, data processing, data transformation, and data storage, using tools andframeworks such as Apache Spark, Apache Flink, or AWS Glue. Quantitative Analysis: Proficiency in quantitative analysis techniques, includingstatistical modeling, machine learning, and data mining, with experience inimplementing algorithms for regression analysis, clustering, classification, and predictivemodeling. Programming Languages: Proficiency in programming languages commonly used fordata engineering and quantitative analysis, such as Python, R, Java, or Scala, as well asexperience with SQL for data querying and manipulation. Big Data Technologies: Familiarity with big data technologies and platforms, such asHadoop, Apache Kafka, Apache Hive, or AWS EMR, for processing and analyzing largevolumes of data. Data Visualization: Experience in data visualization techniques and tools, such asMatplotlib, Seaborn, or Tableau, for creating visualizations of data and model outputs tocommunicate insights effectively. Machine Learning Frameworks: Familiarity with machine learning frameworks andlibraries, such as PyTorch for implementing and deploying machine learning models. Cloud Computing: Experience with cloud computing platforms, such as AWS, Azure, orGoogle Cloud Platform, and proficiency in using cloud services for data engineering andmodel deployment. Software Development: Strong software development skills, including proficiency insoftware design patterns, version control systems (e.g., Git), and software testingframeworks, to develop robust and maintainable code. Problem-solving Skills: Excellent problem-solving skills, with the ability to analyzecomplex data engineering and quantitative analysis problems, identify solutions, andimplement them effectively. Communication and Collaboration: Strong communication and collaboration skills, withthe ability to work effectively with cross-functional teams, including data scientists,analysts, and business stakeholders, to understand requirements and deliver solutions. Domain Knowledge: Domain knowledge in areas such as finance, healthcare, ormarketing, depending on the industry, to understand the context and requirements ofdata engineering models in specific domains. Continuous Learning: A commitment to continuous learning and staying updated withthe latest trends, tools, and technologies in data engineering, quantitative analysis, andmachine learning.

Qualifications/Experience: BTech (Comp Science)/BCAMTech (Comp Science)/MCAExperience: - Minimum of 8+ Years of .Net framework, AP.Net, MVC, WebformsMust have DevOps experience including CI/CD pipelines.Clear understand of web development life cycle.Understand of server side and client-side conceptsExperience working in an Agile software development environment.Strong JavaScript experience including Bootstrap, HTML, and CSSIn-depth knowledge of SQL Server databasesExperience with test automation software (xUnit / NUnit / MSTest)Hands on object orientated programming knowledge and knowledge of software architectural patterns.Good understanding of SOLID development principlesGood understanding of cloud-based architectureTrack record of successful software deliveryExcellent English communication skillsJob responsibilitiesHands on experience with as many as possible of the following: ASP.NET, ASP.NET Core, C#, CSS, AWS cloud and associated technologies, Web and Micro services architecture, MSMQ, single sign-on design and implementation, object-oriented design patterns, RestFul API's and Webhooks, SQL Server Experience of working in a DevOps environment supporting and contributing to agile software delivery essentialMust be able to work with GIT and MsAzure DevopsExposure to financial modelling, if possibleParticipate in peer code review, identify technical impacts, carry out debugging, enhance system performance, deliver clean and efficient code.Database knowledge including optimizing stored procedure and understand Query Execution PlanAble to translate end user/stakeholder requirements into detailed technical/architectural specifications when appropriate and turn it into robust solutions.Strong experience of technical and architectural design with large-scale web applications.In-depth understanding of non-functional requirements such as security and scalability.Proven ability to collaborate successfully with client an

Key Responsibilities Analyst Workflows: Lead the design and development of org integrated content publishing platform using a proprietary 3rd. party editorial and publishing platform for integrated digital publishing. Designing and Developing APIs: Lead the design and development of robust, scalable, and secure APIs on AWS, considering factors like performance, reliability, and cost-efficiency. Architecture Planning: Collaborate with architects and stakeholders to define architecture, including API gateway, microservices, and serverless components, ensuring alignment with business goals and AWS best practices. Technical Leadership: Provide technical guidance and leadership to the development team, ensuring adherence to coding standards, best practices, and AWS guidelines. AWS Service Integration: Integrate APIs with various AWS services such as AWS Lambda, Amazon API Gateway, Amazon SQS, Amazon SNS, AWS Glue, and others, to build comprehensive and efficient solutions. Performance Optimization: Identify and implement optimizations to improve performance, scalability, and efficiency, leveraging AWS services and tools. Security and Compliance: Ensure APIs are developed following best security practices, including authentication, authorization, encryption, and compliance with relevant standards and regulations. Monitoring and Logging: Implement monitoring and logging solutions for APIs using AWS CloudWatch, AWS X-Ray, or similar tools, to ensure availability, performance, and reliability. Continuous Integration and Deployment (CI/CD): Establish and maintain CI/CD pipelines for API development, automating testing, deployment, and monitoring processes on AWS. Documentation and Training: Create and maintain comprehensive documentation for internal and external users, and provide training and support to developers and stakeholders. Team Collaboration: Collaborate effectively with cross-functional teams, including product managers, designers, and other developers, to deliver high-quality solutions that meet business requirements. Problem Solving: Lead troubleshooting efforts, identifying root causes and implementing solutions to ensure system stability and performance. Stay Updated: Stay updated with the latest trends, tools, and technologies related to development on AWS, and continuously improve your skills and knowledge.