Data Engineer

Job Title : Software Engineer (.NET, Azure)

Location : Remote

Employment Type : [Full-time/Contract]

Experience Level : 3+ Years

Job Summary :

We are looking for a skilled Software Engineer (.NET, Azure) to develop high-quality, secure, and scalable software solutions. You will collaborate with product owners, security specialists, and engineers to deliver robust applications.

Responsibilities :

• Develop and maintain server-side software using .NET (C#), SQL, and Azure.
• Build and secure RESTful APIs.
• Deploy and manage applications on Azure.
• Ensure version control using Azure DevOps/Git.
• Write clean, maintainable, and scalable code.
• Debug and optimize application performance.

Qualifications :

• 3+ Years of server-side development experience.
• Strong proficiency in .NET, SQL, and Azure.
• Experience with RESTful APIs and DevOps/Git.
• Ability to work collaboratively and independently.
• Familiarity with Scrum methodologies.

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Key Responsibilities 

• Responsible for managing end to end HR processes
• Design & implement recruiting strategies for each Business Unit by understanding the manpower requirements
• Lead and execute Recruitments for campus, Lateral, focusing on direct sourcing majorly
• Plan and execute the Talent Management process inclusive of performance appraisals, Career Development and advancement
• Candidates will be responsible to implement new HR programs and activities
• Plan & execute the employee engagement activities
• Solely responsible for maintaining the payroll & attendance system.
• Responsible for comp & ben, HR policies, other generalist activities or any ad hoc responsibilities.

Ideal candidate should have: 

• Should have 3 Years of experience in HR generalist responsibilities with focus on Recruitment and Performance Management.
• Proficient in Excel, Powerpoint with ability to manage MIS and reporting 
• Multitasker and able to manage any ad hoc tasks
• Desire to learn and develop.
• Strong organization skills - ability to meet deadlines, prioritize assignments, etc
• Capable of handling high pressure situations & excellent stakeholder management capabilities

We are looking for a talented EMAIL MARKETING MANAGER to own our email marketing channel. Your main duties include running email marketing campaigns end-to-end, managing email databases, and creating newsletters.

Here’s what you will do:
● Identify target audience and grow our email list
● Design and implement direct email marketing campaigns
● Proofread emails for clarity, grammar, and spelling
● Write newsletters including all company updates
● Upgrade our email templates using graphics, personalization, and advanced features
● Ensure prompt and accurate communication with clients email to minimize unsubscribes
● Create email databases for lead generation
● Analyze campaign performance and suggest improvements
● Report on sales revenue generated from email marketing efforts
● Ensure emails follow industry policies and best practices

Here’s what you should have:
● 4+ years of proven work experience as an Email marketer
● Hands-on experience with HTML and content management systems
● Proficiency in marketing automation technology
● Knowledge of SEO/SEM and Google Analytics
● Familiarity with analytical and database tools
● Excellent written communication and copywriting skills
● Strong project management skills

Role Description:

As a QA Engineer for all applications at Radiusagent (both web and mobile), you will conduct comprehensive black box QA testing. You will help engineers and customer service representatives triage difficult bugs, build reproducible test cases and investigate complex issues

Responsibilities

• Independently utilize innovative test methodologies to develop test plans and test strategies.

• You will help design, develop and execute automation scripts. (Appium/Selenium) and extend the automation library and framework.

• You will be working on Selenium/Appium.

• You will be involved in DB testing ( SQL)

• You will work efficiently in a multi-project agile environment

• You will be working on performance, security and scalability testing

• You will be working on troubleshooting apps using analytics data, crash reports, and user error reports.

passion for building and delivering great software with a strong sense of ownership.

• 4+ years of experience in building web applications using React, Node.js, GraphQL integrations with NoSQL or relational database systems.
• Working experience in building and deployment applications on AWS platform a plus.
• Working experience on docker and microservice a plus.
• Strong experience with Build and Release, Agile processes and Estimation/Planning
• Must have strong debugging and troubleshooting skills, with solid understanding of logging and exception handling.