Infinium Associate
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React Native
FlutterDataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.
About the Role
We're seeking a talented and versatile Full Stack Developer with a strong foundation in mobile app development to join our dynamic team. You'll play a pivotal role in designing, developing, and maintaining high-quality software applications across various platforms.
Responsibilities
- Full Stack Development: Design, develop, and implement both front-end and back-end components of web applications using modern technologies and frameworks.
- Mobile App Development: Develop native mobile applications for iOS and Android platforms using Swift and Kotlin, respectively.
- Cross-Platform Development: Explore and utilize cross-platform frameworks (e.g., React Native, Flutter) for efficient mobile app development.
- API Development: Create and maintain RESTful APIs for integration with front-end and mobile applications.
- Database Management: Work with databases (e.g., MySQL, PostgreSQL) to store and retrieve application data.
- Code Quality: Adhere to coding standards, best practices, and ensure code quality through regular code reviews.
- Collaboration: Collaborate effectively with designers, project managers, and other team members to deliver high-quality solutions.
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Strong programming skills in [relevant programming languages, e.g., JavaScript, Python, Java, etc.].
- Experience with [relevant frameworks and technologies, e.g., React, Angular, Node.js, Swift, Kotlin, etc.].
- Understanding of software development methodologies (e.g., Agile, Waterfall).
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Strong communication and interpersonal skills.
Preferred Skills (Optional)
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Knowledge of DevOps practices and tools.
- Experience with serverless architectures.
- Contributions to open-source projects.
What We Offer
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and supportive work environment.
- A chance to work on cutting-edge projects.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
R Programming
Data Science
PythonDataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.
About the Role:
As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.
Key Responsibilities:
- Data Ingestion and Preparation:
- Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
- Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
- Exploratory Data Analysis (EDA):
- Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
- Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
- Feature Engineering:
- Create relevant features from raw data to enhance model performance and interpretability.
- Explore techniques like feature selection, normalization, and dimensionality reduction.
- Model Development and Training:
- Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
- Evaluate model performance using appropriate metrics and iterate on the modeling process.
- Model Deployment and Monitoring:
- Deploy trained models into production environments using GCP's ML tools and infrastructure.
- Monitor model performance over time, identify drift, and retrain models as needed.
- Collaboration and Communication:
- Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
- Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.
Required Skills and Qualifications:
- Strong proficiency in Python or R programming languages.
- Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
- Familiarity with machine learning algorithms and techniques.
- Knowledge of data visualization tools (e.g., Tableau, Looker).
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Strong communication and interpersonal skills.
Preferred Qualifications:
- Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
- Knowledge of distributed systems and scalable data architectures.
- Experience with natural language processing (NLP) or computer vision applications.
- Certifications in Google Cloud Platform or relevant machine learning frameworks.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonAbout the Role:
We are seeking a talented Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.
Responsibilities:
- Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
- Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
- Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
- Team Management: Able to handle team.
- Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
- Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
- Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
- Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.
Skills:
- Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
- Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
- Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
- Understanding of data modeling and data architecture concepts.
- Experience with ETL/ELT tools and frameworks.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
Preferred Qualifications:
- Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
- Knowledge of machine learning and artificial intelligence concepts.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Certification in cloud platforms or data engineering.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
.NET
C#
Visual StudioWe are seeking a skilled Magic xpa Developer with strong proficiency in .NET technologies to design, develop, and maintain enterprise applications. The ideal candidate will have hands-on experience with Magic xpa (formerly uniPaaS / eDeveloper), integration with .NET components, and solid knowledge of database systems and web services.
Key Responsibilities
- Develop, enhance, and maintain business applications using Magic xpa Application Platform.
- Integrate Magic xpa applications with .NET modules, APIs, and external systems.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
- Design and implement data integration, business logic, and UI functionalities within Magic xpa and .NET frameworks.
- Debug, troubleshoot, and optimize application performance.
- Participate in code reviews, unit testing, and deployment activities.
- Work with SQL Server or other RDBMS for data modeling, stored procedures, and performance tuning.
- Ensure adherence to coding standards, security practices, and documentation requirements.
Required Skills & Experience
- 5+ years of experience in Magic xpa (version 3.x or 4.x) development.
- Strong proficiency in C#, .NET Framework / .NET Core, and Visual Studio.
- Experience integrating Magic xpa applications with REST/SOAP APIs.
- Hands-on experience with SQL Server / Oracle, including complex queries and stored procedures.
- Good understanding of software development lifecycle (SDLC), agile methodologies, and version control tools (Git, TFS).
- Ability to troubleshoot runtime and build-time issues in Magic xpa and .NET environments.
- Excellent analytical, problem-solving, and communication skills.
Nice to Have
- Experience with Magic xpi (integration platform).
- Knowledge of web technologies (ASP.NET, HTML5, JavaScript).
- Exposure to cloud environments (AWS / Azure).
- Understanding of enterprise system integration and microservices architecture
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