Back
Metro Bengaluru and broad multi-cloud data/GenAI skillset raise competition.
Core data engineering, cloud, and big-data skills are highly transferable across industries.
High due to explicit 15+ years requirement and extensive mandatory data engineering, cloud, and GenAI skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, and maintenance of scalable data engineering infrastructure including batch and real-time data pipelines.
Act as Subject Matter Expert for migrating on-premises applications and large multi-terabyte databases to cloud-based data platforms, focusing on data warehousing and big data solutions in AWS and other clouds.
Architect end-to-end data solutions encompassing data modelling, transformation, governance, and migration aligned with enterprise technology standards.
Bachelor's degree in Computer Science, Engineering, or related technical field; Master's preferred.
12+ to 15+ years of experience in data engineering roles with 5+ years in technical leadership positions.
Proficiency in data warehousing, data modelling, ETL design, big data technologies (Hadoop, Spark, Kafka, etc.), and cloud platforms (AWS preferred).
Hands-on experience in GenAI technologies within last 1-3 years and familiarity with AWS migration services (DMS, SMS).
Demonstrated ability to lead complex data migration and architecture projects involving multiple cloud and database technologies.
Strong expertise in designing and optimizing data models and pipelines for large-scale, multi-platform consumption.
Experience integrating GenAI components like LLMs and prompt engineering into data solutions and collaborating with cross-functional teams including data scientists and business stakeholders.