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Infinium Associate
Infinium Associate cover picture
Founded :
2014
Type :
Services
Size :
10-50
Stage :
Profitable

About

Infinium Associates is a leading Manpower Recruitment Consultancy in Saudi Arabia, UAE and India. We specialize in providing end to end staffing, Headhunting, Training & Mobility Solutions.
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Connect with the team

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Toshi Srivastava

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Jobs at Infinium Associate

A global technology company
A global technology company
Agency job
via Infinium Associate by Toshi Srivastava
Bengaluru (Bangalore)
6 - 12 yrs
₹15L - ₹30L / yr
magic xpa
skill icon.NET
v3.x
skill iconC#
skill iconVisual Studio
+4 more

We 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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Data Havn
Data Havn
Agency job
via Infinium Associate by Toshi Srivastava
icon

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Noida
5 - 9 yrs
₹40L - ₹60L / yr
skill iconPython
SQL
Data engineering
Snowflake
ETL
+5 more

About the Role:

We are seeking a talented Lead 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.


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Data Havn
Data Havn
Agency job
via Infinium Associate by Toshi Srivastava
Noida
5 - 8 yrs
₹25L - ₹40L / yr
skill iconPython
SQL
Big Data
Data engineering
Data Warehouse (DWH)
+7 more

About the Role:

We are seeking a talented Lead 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.
Read more
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