Wissen Technology is hiring for Senior Data Engineer (Snowflake & AWS Glue)
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 mindset—ensuring 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 expectations—we 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 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 impact—the first time, every time.
JOB SUMMARY
Wissen Technology is hiring an experienced Senior Data Engineer to design, build, and maintain enterprise-grade data platforms and modern cloud data warehouses. The role focuses on product development, data pipeline engineering, analytics enablement, and ongoing platform optimization using Snowflake, AWS Glue, Python, and AWS services.
EXPERIENCE, LOCATION, MODE OF WORK
Experience: 7-12 years
Location: Chennai
Mode of Work: Hybrid
Mandatory Skills (Must Have)
• Snowflake (7+ years including data modeling, performance tuning, security roles, and warehouse optimization)
• Python (7+ years for ETL/ELT development, automation, and data processing)
• AWS Glue (Glue Jobs, Crawlers, Data Catalog, and serverless ETL development)
• ETL/ELT pipeline design and development in enterprise data environments
• AWS services including S3, Lambda, IAM, and cloud-native data architecture
• Data warehousing concepts, dimensional modeling, and analytics data marts
• SQL and advanced data transformation techniques for large-scale datasets
Optional Skills (Good to Have)
• Healthcare data analytics and specialty pharmacy data experience
• Apache Airflow or AWS Step Functions for workflow orchestration
• CI/CD pipelines using Git, Jenkins, GitHub Actions, or similar tools
• Data quality, observability, and monitoring platforms
• Infrastructure as Code and cloud automation practices
Professional Attributes & Qualifications
• Education: BE/BTech/ME/MTech in Computer Science, Engineering, Information Technology, or related field
• Leadership: Experience mentoring junior data engineers and guiding technical best practices
• Ownership: Proven ability to drive end-to-end data engineering projects independently
• Strong analytical, problem-solving, and stakeholder management skills
• Excellent written and verbal communication skills for business and technical audiences
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, AWS Glue, and Python
• Build robust Snowflake data models and warehouse structures supporting analytics, reporting, and data science initiatives
• Develop clean, efficient, and maintainable Python code for data processing and automation
• Collaborate with data analysts, data scientists, architects, and business stakeholders to deliver high-quality data solutions
• Gather requirements, provide solution design recommendations, and communicate technical approaches effectively
• Monitor, troubleshoot, and optimize data workflows for reliability, performance, and data quality
• Implement data validation, error handling, observability, and governance controls across pipelines
• Optimize cloud data platform performance and cost efficiency in AWS environments
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/
Skills Required
- 7+ years of Snowflake experience, including data modeling, performance tuning, security roles, and warehouse optimization
- 7+ years of Python experience for ETL/ELT development, automation, and data processing
- Experience with AWS Glue Jobs, Crawlers, Data Catalog, and serverless ETL development
- Experience designing and developing enterprise ETL/ELT pipelines
- Experience with AWS services including S3, Lambda, and IAM
- Knowledge of data warehousing, dimensional modeling, and analytics data marts
- Advanced SQL and data transformation experience for large-scale datasets
- BE, BTech, ME, or MTech in Computer Science, Engineering, Information Technology, or a related field
- Experience mentoring junior data engineers and guiding technical best practices
- Ability to independently drive end-to-end data engineering projects
- Strong analytical, problem-solving, stakeholder management, written communication, and verbal communication skills
- Healthcare data analytics or specialty pharmacy data experience
- Experience with Apache Airflow or AWS Step Functions
- Experience with CI/CD tools such as Git, Jenkins, or GitHub Actions
- Experience with data quality, observability, and monitoring platforms
- Infrastructure as Code and cloud automation experience
What We Do
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services. We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!). Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world. Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients
