Role & responsibilities
Lead an execution of complex data solutions for high-impact projects, driving technical decisions and ensuring best practices across critical initiatives
• Design and implement data pipelines and workflows using contemporary tools and frameworks, including Snowflake, Apache Airflow, DBT, Matillion, etc.
Build and maintain cloud-native data solutions leveraging Azure and AWS services to ensure scalability and reliability.
Contribute to platform reliability, cost efficiency, and security by actively engaging in design discussions, executing proof-of-concepts (POCs), automating processes, and mentoring team members to ensure adherence to best practices.
Collaborate with data architects, analysts, data scientists, ML engineers and business stakeholders to deliver high-quality, governed data and ML solutions that support data driven decisions.
📌 Opening For Data Engineer Bangalore Bengaluru (India)
🏢 Staffing Services
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.