TechSkillio

JD

The Java Software Engineer role is to design, develop, and maintain scalable and high-performance

backend systems using Java and related technologies. This includes building APIs, integrating with

databases and external services, and ensuring system reliability, security, and maintainability.

Must Have Skills:

• Programming Languages & Frameworks (Java 18+, Spring Boot)
• API Development (RESTful APIs, OpenAPI/Swagger)
• Any Database
• CI/CD Pipelines (Jenkins, GitLab CI/CD) 
• Cloud Platforms (Any)
• Unix
• Testing Frameworks (JUnit, TestNG, Mockito, JBehave)

Good to have Skills:

• Messaging & Integration (Kafka, REST)
• Azure Open AI, RAG-based Architecture, AI Agents, Agentic AI, Spring Integration
• Monitoring & Logging (Prometheus, Splunk)
• Security & Authentication (OAuth2, JWT, Spring Security)

Qualification:

• Bachelor's or Master’s degrees in Computer Science, Computer Engineering, or a related technical discipline.
• Ability to work independently and to adapt to a fast-changing environment.
• Creative, self-disciplined, and capable of identifying and completing critical tasks independently and with a sense of urgency.

Note: Banking Project is required

Job Description

Overview:

We are seeking an experienced Azure Data Engineer to join our team in a hybrid Developer/Support capacity. This role focuses on enhancing and supporting existing Data & Analytics solutions by leveraging Azure Data Engineering technologies. The engineer will work on developing, maintaining, and deploying IT products and solutions that serve various business users, with a strong emphasis on performance, scalability, and reliability.

Must-Have Skills:

Azure Databricks

PySpark

Azure Synapse Analytics

Key Responsibilities:

• Incident classification and prioritization
• Log analysis and trend identification
• Coordination with Subject Matter Experts (SMEs)
• Escalation of unresolved or complex issues
• Root cause analysis and permanent resolution implementation
• Stakeholder communication and status updates
• Resolution of complex and major incidents
• Code reviews (Per week 2 per individual) to ensure adherence to standards and optimize performance
• Bug fixing of recurring or critical issues identified during operations
• Gold layer tasks, including enhancements and performance tuning.
• Design, develop, and support data pipelines and solutions using Azure data engineering services.
• Implement data flow and ETL techniques leveraging Azure Data Factory, Databricks, and Synapse.
• Cleanse, transform, and enrich datasets using Databricks notebooks and PySpark.

• Orchestrate and automate workflows across services and systems.
• Collaborate with business and technical teams to deliver robust and scalable data solutions.
• Work in a support role to resolve incidents, handle change/service requests, and monitor performance.
• Contribute to CI/CD pipeline implementation using Azure DevOps.

Technical Requirements:

• 4 to 6 years of experience in IT and Azure data engineering technologies.
• Strong experience in Azure Databricks, Azure Synapse, and ADLS Gen2.
• Proficient in Python, PySpark, and SQL.
• Experience with file formats such as JSON and Parquet.
• Working knowledge of database systems, with a preference for Teradata and Snowflake.
• Hands-on experience with Azure DevOps and CI/CD pipeline deployments.
• Understanding of Data Warehousing concepts and data modeling best practices.
• Familiarity with SNOW (ServiceNow) for incident and change management.

Non-Technical Requirements:

• Ability to work independently and collaboratively in virtual teams across geographies.
• Strong analytical and problem-solving skills.
• Experience in Agile development practices, including estimation, testing, and deployment.
• Effective task and time management with the ability to prioritize under pressure.
• Clear communication and documentation skills for project updates and technical processes.

Technologies:

• Azure Data Factory
• Azure Databricks
• Azure Synapse Analytics
• PySpark / SQL
• Azure Data Lake Storage (ADLS), Blob Storage
• Azure DevOps (CI/CD pipelines)

Nice-to-Have:

• Experience with Business Intelligence tools, preferably Power BI
• DP-203 certification (Azure Data Engineer Associate) 

NOTE -

Weekly rotational shifts -

11am to 8pm

2pm to 11pm

5pm to 2 am

P.S. - In any one weekend they should be available in call. If there is any issues alone they should work on that. there will be on call support monthly once.

Role Overview:

We are seeking skilled Backend Developers to design, build, and maintain efficient, scalable, and secure server-side logic and services. The ideal candidate will have strong expertise in Python, Flask, and Google Cloud Platform (GCP), with experience building APIs, handling databases, and integrating cloud services in production environments.

Required Experience: 4+ Years

Location: Chennai, Open for remote for strong candidates

Key Responsibilities:

• Collaborate with project teams to understand business requirements and develop efficient, high-quality code.
• Design and implement low-latency, high-availability, and performant applications using frameworks such as Flask, or FastAPI.
• Integrate multiple data sources and databases into a unified system while ensuring seamless data storage and third-party library/package integration.
• Create scalable and optimized database schemas to support complex business logic and manage large volumes of data.
• Conduct thorough testing using pytest and unittest, debugging applications to ensure they run smoothly.

Required Skills & Qualifications:

• 3+ years of experience as a Python developer with strong communication skills.
• Bachelor's degree in Computer Science, Software Engineering or a related field.
• In-depth knowledge of Python frameworks such as Flask, or FastAPI.
• Strong expertise in cloud technologies, GCP preferred.
• Deep understanding of microservices architecture, multi-tenant architecture, and best practices in Python development.
• Familiarity with serverless architecture and frameworks like GCP Cloud Functions.
• Experience with deployment using Docker, Nginx, Gunicorn.
• Hands-on experience with SQL and NoSQL databases such as MySQL and Firebase.
• Proficiency with Object Relational Mappers (ORMs) like SQLAlchemy.
• Demonstrated ability to handle multiple API integrations and write modular, reusable code.
• Strong knowledge of user authentication and authorization mechanisms across multiple systems and environments.
• Familiarity with scalable application design principles and event-driven programming in Python.
• Solid experience in unit testing, debugging, and code optimization.
• Hands-on experience with modern software development methodologies, including Agile and Scrum.
• Experience with CI/CD pipelines and automation tools like Jenkins, GitLab CI, or CircleCI.
• Experience with version control system.

Driving Results:

• A good single contributor and a good team player.
• Flexible attitude towards work, as per the needs.
• Proactively identify & communicate issues and risks.

Other Personal Characteristics:

• Dynamic, engaging, self-reliant developer 
• Ability to deal with ambiguity
• Manage a collaborative and analytical approach
• Self-confident and humble
• Open to continuous learning 
• Intelligent, rigorous thinker who can operate successfully amongst bright people

Job Description

• Min 5 years of Test Data Management tools experience with experience in Data De-identification and Masking Capabilities.
• Min 3 years of experience working on the Delphix tool with Data De-identification TDM experience
• Min 2 years of Experience in Synthetic Data Generation Capabilities
• Nice to have Experience in Python and .NET
• Understand and align with the roadmaps of key consumers with faster turnaround of test data generation.
• Optional: Prior experience working in cloud-hosted platforms, CICD pipeline, and integration of test data into the pipeline.

Job Summary

We are seeking a highly skilled and motivated Linux Device Driver Engineer with strong C/C++ programming skills and hands-on experience in Linux driver development. The ideal candidate will have a proven track record of working with kernel modules and hardware interfaces, and be comfortable debugging and optimizing low-level system software.

Key Responsibilities

• Porting existing Linux device drivers to new platforms, SoCs, and kernel versions.
• New driver development for custom hardware components and peripherals.
• Debugging kernel and driver-level issues using industry-standard tools.
• Integration & bring-up of hardware with Linux-based systems.
• Collaborate with hardware teams to interpret specifications and enable device functionality.
• Optimize drivers for performance, reliability, and resource efficiency.
• Write clear technical documentation for driver APIs, design, and integration steps.

Required Skills & Qualifications

• Bachelor’s/Master’s in Computer Science, Electronics, or related field.
• 4 to 8 years of professional experience in software development.
• Strong proficiency in C/C++ programming and memory management.
• Hands-on experience with any Linux device driver (character, block, network, USB, PCIe, I2C, SPI, etc.).
• Good understanding of Linux kernel architecture, module programming, and build systems.
• Knowledge of interrupt handling, DMA, and device tree configuration.
• Familiarity with cross-compilation and embedded Linux toolchains.
• Experience with debugging tools (GDB, ftrace, perf, printk, etc.).
• Version control experience (Git).

Preferred Skills

• Exposure to multiple driver types (networking, storage, multimedia, etc.).
• Experience with Yocto, Buildroot, or similar embedded Linux environments.
• Knowledge of real-time Linux and RT patches.
• Scripting knowledge (Python, Bash) for testing and automation.

Soft Skills

• Strong analytical and debugging skills.
• Good communication and collaboration abilities.
• Ability to work independently and take ownership of deliverables.