Job Title: DataOps Engineer

Experience: 7+ Years

Role Overview

We are looking for a DataOps Engineer to build and maintain scalable data pipelines and ensure smooth, reliable data operations. The role involves working closely with data engineering, analytics, and DevOps teams to enable efficient data workflows.

Key Responsibilities

Develop and maintain ETL/ELT data pipelines

Implement DataOps practices (CI/CD) for data workflows

Monitor and optimize pipeline performance and reliability

Ensure data quality, governance, and security

Collaborate with cross-functional teams

Mandatory Skills

Strong Python and SQL

Experience with ETL pipelines

Hands-on with Airflow or similar orchestration tools

Experience with Cloud (AWS/Azure/GCP)

Knowledge of Data Warehousing (Snowflake/Redshift/BigQuery)

Understanding of CI/CD and version control (Git)

Good to Have

Databricks and Spark

Docker / Kubernetes

Kafka or streaming tools

175k

Data Engineer –

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines that support analytics and data products. The role involves working closely with data scientists and engineering teams to ensure reliable and effective data infrastructure.

Key Responsibilities

Design and develop data pipelines (batch and streaming) using Databricks and PySpark.

Write optimized PySpark code to process large datasets.

Build and manage CI/CD pipelines for data workflows using GitHub / GitHub Actions / Azure DevOps.

Implement data validation and data quality checks.

Monitor pipelines using logging, alerting, and observability tools.

Collaborate with cross-functional teams and document data pipeline architecture.

Mandatory Skills

7 years of Data Engineering experience

Databricks

PySpark

End-to-end Data Pipeline Development (Batch / Streaming)

GitHub (branching, pull requests, code reviews)

CI/CD for Data Pipelines (GitHub Actions / Azure DevOps)

Data Validation / Data Quality Frameworks

Pipeline Monitoring (Logging, Alerting, SLA tracking)

Apache Kafka

Data Warehousing / Lakehouse Architecture concepts

Good to Have

MongoDB or other NoSQL databases

Data Governance

Data Modeling

Spark Streaming

170k

We are seeking a Mid-Level QA Tester with strong experience in manual testing of mobile and web applications, along with growing expertise in test automation and AI model validation. The ideal candidate will take ownership of end-to-end testing activities, ensuring that releases meet the highest quality standards.

In this role, you will work closely with developers, designers, product managers, and data/AI teams to identify, report,



and verify defects across traditional applications as well as AI-driven features, contributing directly to a smooth and reliable user experience.

Key Responsibilities

Plan, design, and execute manual test cases for mobile (iOS & Android) and web applications.

Perform functional, regression, UI/UX, smoke, and compatibility testing across devices and browsers.

Develop and maintain automated test scripts for web and mobile applications using tools such as Selenium, Appium, or similar frameworks.

Integrate automated tests into development workflows to support continuous testing and faster release cycles.

Identify, document, and track defects and issues using tools like Jira.

Verify bug fixes and perform retesting during release cycles.

Maintain clear and concise test documentation, including test cases, automation scripts, results, and reports.

Participate in release validation and provide quality sign-off for production deployments.

Contribute to continuous improvement of QA processes, automation coverage, and best practices.

AI Model Testing Responsibilities

Validate AI/ML model outputs for accuracy, consistency, and reliability across different scenarios.

Design test cases for edge cases, bias detection, and model robustness.

Evaluate model performance using metrics such as precision, recall, and accuracy.

Conduct prompt/response testing for AI-driven features (e.g., chatbots, recommendation systems).

Identify issues like hallucinations, incorrect predictions, or unexpected model behavior.

Primary Skills & Qualifications:

Manual Testing

Hands-on experience in manual testing of mobile and web applications.

Strong experience testing on iOS and Android platforms across different devices and OS versions.

Solid understanding of web testing across major browsers and responsive designs.

Automation Testing

Experience with automation tools such as Selenium, Appium, Cypress, or similar.

Understanding of test frameworks (TestNG, JUnit, PyTest, etc.).

Experience with API testing tools like Postman or RestAssued.

AI/ML Testing

Basic understanding of AI/ML concepts and model behavior.

Experience in testing AI-driven applications (chatbots, recommendation systems, NLP features, etc.).

Ability to analyze model outputs and identify anomalies or bias.

General Skills





Proficiency in using bug tracking tools such as Jira.

Excellent analytical, problem-solving, and communication skills.

Strong attention to detail with a focus on delivering high-quality results.

Ability to work collaboratively within cross-functional Agile teams.

80K

Role Overview

Backend Developer focused on building scalable applications using PHP and Laravel, with strong emphasis on database efficiency, API integrations, and clean architecture.

Key Responsibilities

Backend Development

Develop and maintain backend systems using PHP and Laravel

Implement scalable, reusable, and maintainable code (MVC architecture)

Handle full lifecycle: development → testing → deployment

Laravel Core Expertise

Strong understanding of

Eloquent ORM (relationships, eager loading)

Migrations and schema design

Middleware and request lifecycle

Dependency injection and service container

Build optimized and scalable Laravel applications

Database Management

Design and manage MySQL databases

Write and optimize complex queries

Apply indexing, joins, and normalization techniques

Perform query performance tuning

API Development & Integration

Build secure RESTful APIs

Implement authentication (JWT, Sanctum, Passport)

Integrate third-party APIs (payment gateways, external services)

Performance Optimization

Optimize code and database queries

Implement caching (Redis/Memcached)

Use queues, jobs, and workers for async processing

Laravel First-Party Services

Experience working with and selecting appropriate Laravel first-party tools based on use case:

Authentication: Sanctum / Passport

Queues & Monitoring: Horizon

Debugging & Profiling: Telescope

File Storage: Laravel Filesystem (S3, local)

Task Scheduling: Laravel Scheduler

Events & Broadcasting

Ability to evaluate, integrate, and customize these services in real-world applications

Code Quality

Follow PSR standards and clean coding practices

Write reusable and testable code

Perform code reviews and refactoring

Project Ownership

Explain previous project architecture and decisions

Collaborate with cross-functional teams

Required Skills

Strong PHP and Laravel expertise

Deep understanding of Laravel core concepts

Experience with REST API development

Strong MySQL and query optimization skills

OOP and design patterns

Key Skill's (Nice-to-Have)

Basic knowledge of AWS services (EC2, S3, RDS)

Familiarity with React.js (API consumption, component basics)

Preferred Skills

Docker / containerization

CI/CD pipelines

Cloud deployment experience

Microservices architecture understanding

110K

📌 Backend Developer (PHP / Laravel) (India)
🏢 Sparix Global
📍 India