Senior Data Engineer (SQL, Azure/AWS/GCP, ETL)

The individual will be responsible for designs, builds, and maintains scalable data solutions including data models, ETL pipelines, and real-time processing systems He/she is also responsible for mentoring junior team members and play a pivotal role in overseeing the technical aspects of data related projects.

Key Responsibilities (Must Have)

• Hands-on experience working on ETL processes in Data Warehouse or Big Data projects
• Exposure to cloud data services on AWS / Azure / GCP (ETL, data cleanup, BI, or related data services)
• Strong SQL expertise with the ability to solve complex queries efficiently
• Identify, analyze, and resolve performance and scalability issues
• Work effectively as an individual contributor
• Basic understanding of reporting tools and data visualizations
• Actively participate in design and code reviews
• Assist in task estimation and planning
• Guide team members by promoting best practices, structured problem-solving, and quality standards
• Demonstrate strong communication and analytical skills
• High energy, enthusiasm, and willingness to learn and adapt quickly to new technologies

Good to Have

• Understanding of Agile methodologies (Scrum, Sprint-based development)
• Experience with Python
• Certifications in SQL and/or Cloud technologies
• Exposure to Master Data Management (MDM) or Data Governance
• Familiarity with streaming data processing , data lakes , and distributed data architectures

Why Join Us?

• Opportunity to work on modern cloud-based data platforms
• Fast learning curve with scope to be groomed into advanced data roles within 12 months
• Collaborative environment with a strong focus on growth and innovation