Job Overview
            
                
                
                
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                    Computer Occupations
                 
                
             
            
            
         
        
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            Job Description
            
                About PriceEasy:
Join one of the most respected and cutting-edge companies in the pricing and analytics industry! PriceEasy, a VC-backed leader, empowers convenience retailers with actionable insights through advanced technologies.
With a robust, innovative platform trusted by top companies globally, we are at the forefront of revolutionizing how businesses optimize pricing, analytics, and site selection.
This is your chance to contribute to a fast-growing, venture-backed company using modern technologies to solve complex, real-world challenges.
Learn more at priceeasy.com
YOU MUST BE A HANDS ON EXCEPTIONAL PROGRAMMER AND LOVE PROGRAMMING TO BE PART OF PRICEEASY TECHNICAL TEAM.
 WE HAVE NO PLACE FOR PEOPLE WHO JUST KNOW HOW TO MANAGE IN OUR TECH TEAM.
Position Overview:
We are seeking a visionary  Senior Data Engineer  to design, build, and scale robust data solutions that power PriceEasy's industry-leading platform.
In this pivotal role, you will leverage your expertise in cloud-based architectures, big data processing, and modern engineering practices to shape solutions that drive business intelligence and innovation.
Key Responsibilities:
Design and implement modern  cloud-based application architectures  for data engineering and analytics workflows.
Develop, optimize, and maintain  big data pipelines  capable of handling large-scale datasets with efficiency.
Write clean, efficient, and scalable  Python code  for data processing, ETL, and application development.
Ensure  data quality, consistency, and security  across multiple systems and platforms.
Collaborate with stakeholders to define  data requirements  and translate them into scalable technical solutions.
Monitor, troubleshoot, and enhance  system performance  and reliability, ensuring uptime and responsiveness.
Mentor and provide technical guidance to team members and stakeholders on  best practices  in architecture and data engineering.
Must-Have Qualifications:
Proven expertise in designing and implementing  modern cloud-based architectures with AWS .
Hands-on experience with  big data processing frameworks  such as Apache Spark or Hadoop.
Proficiency in  Python  with demonstrated success in building scalable data solutions.
Strong understanding of  distributed systems  and  microservices architecture .
5+ years of experience  in developing and scaling technology solutions.
Excellent  problem-solving  abilities with acute attention to detail.
Strong communication and collaboration skills to work effectively across teams.
Experience with  Snowflake  for data warehousing and analytics.
Familiarity with  Redis  for caching and real-time data applications.
Strong understanding of  SQL and NoSQL database technologies .
Experience implementing  CI/CD pipelines  and  DevOps practices .
Knowledge of  machine learning workflows  and tools for predictive analytics.
Hands-on experience in  startups  or high-growth environments.
What We Offer:
Exciting Career Growth : Be part of a VC-backed company working on industry-defining technologies.
Cutting-Edge Environment : Collaborate with innovators in one of the most respected tech platforms in the industry.
Competitive Compensation : A market-leading salary and benefits package tailored to your skills and experience.
Collaborative Culture : A supportive, inclusive workplace that fosters growth and innovation.
This is 100% work from office position in Bangalore.
The salary range for the position is INR 20 lakhs to 35 lakhs
            
         
  
  
  
        
        
        
        
        
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