Gcp data engineer

Location: Noida                           

Overview:- 
About Happiest Minds Technologies Limited (BSE, NSE: HAPPSTMNDS) is an AI First, customer-centric digital engineering company committed to delivering ‘Happiest People . Happiest Customers’. With an integrated approach that spans from chip to cloud, Happiest Minds delivers secure and scalable solutions across product engineering, cybersecurity, analytics , and automation platforms. Happiest Minds brings purpose and precision to every engagement, helping enterprises solve complex business challenges and fast-track their digital evolution across industry sectors such as   Banking, Financial Services & Insurance (BFSI),  EdTech, Healthcare & Life Sciences, Hi-Tech and Media & Entertainment, Industrial, Manufacturing, Energy & Utilities, and Retail, CPG & Logistics.  
We are looking for a highly skilled  Senior Data Engineer  with strong expertise in  Google Cloud Platform (GCP)  to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience with  Python/Java, SQL, PySpark, Airflow, and ETL pipeline development , along with the ability to provide technical leadership and mentor team members. 
Key Responsibilities 
 

• Design, build, and optimize scalable data pipelines on GCP. 
   
• Develop and maintain ETL/ELT workflows using Python, PySpark, and Airflow. 
   
• Write efficient, optimized SQL queries and implement robust data models. 
   
• Build and manage cloud-based data solutions using GCP services. 
   
• Collaborate with engineering teams, product managers, and business stakeholders to deliver data-driven solutions. 
   
• Ensure data quality, reliability, and performance across data platforms. 
   
• Implement CI/CD pipelines and automated testing for data engineering workflows. 
   
• Troubleshoot and resolve data pipeline and performance issues. 
   
• Provide technical leadership, mentor team members, and promote best engineering practices. 
   
• Contribute to knowledge sharing and continuous improvement initiatives. 
   

Required Qualifications 
 

• 5+ years of experience in Data Engineering and Software Development. 
   
• 5+ years of hands-on experience with SQL and Python/Java. 
   
• 3+ years of experience building and managing data pipelines on Google Cloud Platform (GCP). 
   
• Strong expertise in Python or Java for data-intensive application development. 
   
• Hands-on experience with PySpark, Airflow, and ETL pipeline development. 
   
• Strong understanding of SQL, data modeling, and data warehousing concepts. 
   
• Experience with CI/CD pipelines and automated testing frameworks. 
   
• Excellent communication, analytical, and problem-solving skills. 
   
• Experience leading or mentoring engineering teams. 
   

Required Skills:  Data Engineering, GCP, Python, SQL, PySpark, Apache Airflow, ETL Pipelines, Data Modeling, CI/CD, Cloud Data Engineering