Data Engineer (AWS & PySpark)

Wissen Technology is hiring for Data Engineer (AWS & PySpark)

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 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 impact—the first time, every time.

Job Summary:

We are looking for a hands-on Data Engineer with strong expertise in AWS data services and distributed data processing. The ideal candidate should have solid experience building and maintaining scalable data pipelines using PySpark, AWS EMR, Athena, and AWS Glue, along with strong SQL and Python skills.

Experience: 4 to 6 Years
Location: Bangalore
Mode of Work: Full Time | 5 Days WFO

Key Responsibilities -

• Design, develop, and maintain scalable data pipelines using PySpark and AWS services.
  
• Build ETL workflows using AWS Glue and EMR.
  
• Develop data ingestion, transformation, and processing frameworks.
  
• Optimize large-scale data processing jobs and improve performance.
  
• Write efficient SQL queries for analytics and reporting requirements.
  
• Work with structured and semi-structured datasets in cloud environments.
  
• Collaborate with data analysts, architects, and business stakeholders.
  
• Ensure data quality, reliability, and operational excellence.
  
  

Required Skills & Qualifications:

• Strong Python programming skills
  
• Hands-on PySpark development experience
  
• AWS EMR
  
• AWS Athena
  
• AWS Glue
  
• SQL
  
• Data Warehousing Concepts
  
• ETL Development
  
• Data Pipeline Design
  
  

Must Have Skills:

• Python
  
• PySpark
  
• AWS EMR
  
• AWS Glue
  
• SQL
  
• Data Engineering
  
  

Good To Have Skills:

• Airflow
  
• Redshift
  
• S3
  
• Lambda
  
• Spark Optimization
  
• Data Modelling
  
• CI/CD
  
  

Soft Skills:

• Strong analytical and problem-solving skills
  
• Effective communication skills
  
• Ability to work independently
  
• Strong ownership and accountability
  
• Team collaboration mindset
  
  

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/