Data Engineer

Company Description

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.

Job Description

Data Engineer with 3+ years of experience in building scalable data solutions across AWS & Azure. The ideal candidate will have strong expertise in data pipelines, ETL processes, and cloud-based data platforms.

Notice Period: Immediate Joiner

Qualifications

Key Responsibilities:

Design develop, and maintain scalable data pipelines and ETL processes
Build and optimize data architectures on AWS and Azure platforms
Work with large datasets using PySpark, Python, and SQL
Develop and manage workflows using AWS Lambda, Azure Data Factory, and Databricks
Ensure data quality, integrity, and security across systems
Collaborate with cross-functional teams including data analysts and stakeholders
Optimize performance and cost of data processing systems
Troubleshoot and resolve data-related issues

Additional Information

Requirements:

Hands-on experience with AWS services (Lambda, S3, Redshift, etc.)
Strong experience in Python, PySpark, and SQL
Experience with Azure Data Factory and Databricks
Solid understanding of ETL/ELT processes and data warehousing concepts
Experience in building scalable and high-performance data solutions
Knowledge of data modeling and data pipeline optimization
Familiarity with version control tools like Git

Key Skills

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