Data Engineer

W

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindsetensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don't just meet expectationswe exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impactthe first time, every time.

Job Summary

Experience:

Location:

Mode of Work:

Key

• Design, develop, and maintain robust ETL/ELT pipelines using AWS Glue and Spark
  
• Work with large-scale distributed data processing systems on AWS EMR
  
• Optimize data workflows for performance, scalability, and reliability
  
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
  
• Ensure data quality, integrity, and governance across all pipelines
  
• Implement best practices in data modeling, storage, and transformation
  
• Monitor and troubleshoot data pipeline issues in production environments
  
• Maintain documentation for data architecture, processes, and workflows
  

Requirements:

• 510 years of experience in data engineering or related roles.
  
• Strong hands-on experience with AWS Glue, EMR, and Spark.
  
• Proficiency in Python or Scala for data processing.
  
• Solid understanding of data engineering concepts including data warehousing, partitioning, schema design, and performance tuning.
  
• Experience with cloud-based data lakes, S3, and Redshift is a plus.
  
• Familiarity with CI/CD pipelines and version control (e.g., Git).
  
• Excellent problem-solving and communication skills.
  
• Bachelor's or master's degree in computer science, Engineering, or related field.
  

Good To Have Sk

• AWS Certification (e.g., AWS Certified Data Analytics Specialty)
  

Wissen Sites:

Website: www.wissen.com

LinkedIn: https://www.linkedin.com/company/wissen-technology

Wissen Leadership: https://www.wissen.com/company/leadership-team/

Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All
Wissen Thought Leadership: https://www.wissen.com/articles/