Data Engineer

360training 360training.com is a rapidly growing leader in online training and live training across a wide range of industries and professions. 360training.com provides customers with the regulated training they need to get and keep jobs they want. Over the years, we have continued to grow our expansive library of regulatory-approved training courses with new content suited for today’s modern workforce. By offering these courses online, all 360training.com users experience the convenience and flexibility of earning their certifications in their own time, from anywhere in the world.

At 360training.com, we promote a culture of excellence centered around our two core values: Deliver Results and Do the Right Thing. That focus fosters the success of our employees, while maintaining a team-centric environment which inspires them to do their absolute best. One thing our associates get to experience is the ability to make an impact on day one of working here. 360training offers a compelling compensation package that ties to performance and impact.

We offer quality health insurance for employees, their dependents and parents including OPD, dental and vision coverage to meet a variety of needs. We also offer benefits of life and disability, time off, leave encashment, EOBI and gratuity. With twice a year promotion opportunity.

Data Engineer

We are seeking an experienced Data Engineer with a strong software development background to design, build, and scale modern data platforms and real-time data streaming solutions. This role is highly engineering-focused, centered on backend development, data architecture, and distributed data systems rather than traditional reporting or visualization tools. You will play a key role in architecting and developing batch and streaming data pipelines, working with technologies such as C#, Kafka, Azure services, and Snowflake, and enabling reliable data movement, transformation, and processing at scale.

This role is ideal for a hands-on engineer who enjoys solving complex data problems through code, architecture, and modern cloud-native data platforms.

Key Responsibilities Develop, and maintain scalable batch and real-time data pipelines using engineering-first approaches.

Build streaming data pipelines using Kafka / event-driven architectures.

Develop backend data services and integrations using C# and Microsoft technology stack.

Implement data movement, ingestion, and transformation workflows across cloud and on-prem systems.

Work extensively with Snowflake to process and store large-scale datasets.

Implement data transformation logic using code-driven frameworks rather than GUI-based tools.

Implement CI/CD pipelines and version control using Git and DevOps best practices.

Collaborate closely with product, engineering, and platform teams to translate business needs into technical solutions.

Ensure data quality, observability, security, and governance across the data ecosystem.

Required Skills & Experience 2+ years of experience in software development and data engineering roles.

Strong software engineering background, preferably with C# / .NET.

Hands-on experience building data streaming pipelines using Kafka or similar technologies.

Solid experience with cloud-based data platforms such as Databricks and Snowflake.

Proficiency in SQL and experience working with relational and semi-structured data.

Experience designing scalable, fault-tolerant data architectures.

Familiarity with CI/CD, Git-based workflows, and DevOps practices.

Experience working in Agile/Scrum environments using tools like JIRA.

Strong problem-solving mindset with a focus on performance and reliability. Nice to Have Experience with microservices architecture.

Knowledge of event-driven systems and distributed system design.

Exposure to data governance, security, and compliance best practices.

Experience migrating or modernizing legacy data systems.

Qualifications Bachelor’s or master’s degree in computer science, Software Engineering, Information Technology, or a related field.

Proven track record of delivering complex, production-grade data and software systems.

Strong communication skills and the ability to collaborate across engineering teams