Data Engineer

Techwave, we are always in an exercise to foster a culture of growth, and inclusivity. We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life. People are at the core of everything we do.

Who are we?

Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We believe in enabling clients to maximize the potential and achieve a greater market with a wide array of technology services, including, but not limited to, Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of things (IoT).

Founded in 2004, headquartered in Houston, TX, USA, Techwave leverages its expertise in Digital Transformation, Enterprise Applications, and Engineering Services to enable businesses accelerate their growth.

Plus, we're a team of dreamers and doers who are pushing the boundaries of what's possible.

And we want YOU to be a part of it.

Job Description

Key Responsibilities

• Ensure integration of data pipelines with OLAP systems and Data Lakes
• Design and implement reusable data access and transformation patterns
• Build and maintain ingestion and transformation pipelines using ADF and Spark
• Optimize data processing for performance, scalability, and reliability
• Implement data validation and error-handling mechanisms
• Collaborate with data architects, BI developers, and application teams

Required Experience & Skills

• 5+ years of experience in data engineering roles
• Strong hands-on experience with Azure Data Factory (ADF) and Apache Spark
• Expertise in SQL and large-scale data processing
• Experience working with data lakes and analytical data stores
• Strong understanding of performance optimization and data pipeline reliability

Preferred Qualifications

• Experience with cloud-based data platforms
• Exposure to OLAP systems and modern analytics stacks

Key Competencies

• Problem-solving and optimization mindset
• Strong collaboration and communication skills
• Focus on scalability, reliability, and reusability