Data Engineer

Solvios Technology

Solvios Technology is a leading provider of software solutions, specializing in mobile app development, web development, e-commerce solutions, CRM and ERP implementation, blockchain, data analytics, and AI/ML solutions. With a talented in-house team based in India and the USA, we deliver innovative, dynamic, and cost-effective solutions that meet diverse client needs across the USA, UK, Canada, Australia, and the Middle East.

At our company, we strongly uphold the following values:

• Customer Satisfaction – We are committed to delivering what is promised and always striving to exceed expectations.

• People Growth – We encourage continuous learning and professional development, ensuring that every team member expands their skill set as they contribute to our success.

• Flat Organizational Structure
  We foster an open and transparent work environment where hierarchies take a backseat. We believe in clear communication, collaboration, and the free flow of ideas, ensuring that every team member plays a key role in delivering customer satisfaction.

• Employee Engagement & Growth
  We value individual growth and encourage our team to challenge themselves, think creatively, and push beyond limits. By fostering an innovative mindset, we create an environment where both the organization and its people can thrive. To maintain a balanced work-life experience, we also incorporate engaging activities that bring fun and energy into our workplace.

• Flexible Work Environment
  While discipline and commitment are key to achieving goals, we also recognize the importance of flexibility in work. We believe in building mutual trust and fostering an adaptable work culture that enables our team to collaborate effectively while maintaining a healthy work-life balance.

We are seeking an experienced Data Engineer with 3+ years of hands-on experience in designing, building, adding enhancements to, and maintaining scalable data pipelines and data infrastructure. The role focuses on enabling reliable data processing, analysis, and reporting across the organization.

• Responsible for building, adding, and testing scalable data pipelines and infrastructure to support data processing, analysis, and reporting needs

• Design, develop, and maintain ETL/ELT processes for structured and unstructured data

• Build and optimize data models for analytics and business intelligence use cases

• Ensure data accuracy, quality, and consistency across data systems

• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements

• Monitor data pipelines and troubleshoot performance or data-related issues

• Optimize database queries and improve data processing efficiency

• Implement best practices for data security, governance, and compliance

• Maintain proper documentation for data workflows, architecture, and processes

• 
  Strong proficiency in SQL and relational databases (PostgreSQL, MySQL, SQL Server, etc.)

• Experience with data warehousing concepts and solutions

• Hands-on experience with Python (or Scala) for data processing

• Experience with ETL tools and orchestration frameworks (Airflow, Talend, Informatica, etc.)

• Working experience with cloud platforms such as AWS, Azure, or GCP

• Knowledge of big data technologies like Spark, Hadoop, or Kafka

• Strong understanding of data modeling, data lakes, and pipeline architecture