Bachelor's degree in computer science, Engineering, or a related field. Master's degree would be a plus
Great to have:- GCP professional certification - Data Engineer/Cloud Architect will be preferable
Strong hands-on experience with GCP services (Big Query, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, etc.).
Expert in Google BigQuery tool for data warehousing needs
6+ years of software development experience with hands-on expertise in coding in Java/Python/Scala etc
3+ years of experience in creating low code/no code ETL tool for setting up large scale data transformation on GCP Cloud
Strong SQL, RDBMS skills. Expert in writing complex SQLs for different databases such as Hive , MySQL , Postgres etc. Proficiency in working with NoSQL databases as well
Experience working with Spark , Big Data and Hive
Experience in Git Management including PR reviews, maintaining code hygiene
In-depth understanding of data warehousing concepts, dimensional modelling, and data integration techniques
Experience in optimising high volume data processing jobs.
3+ years experience in writing APIs and spring boot services.
Knowledge of High availability and DR setup.
Hands-on experience on CICD pipelines, Automated test frameworks, DevOps and source code management will be a big plus (XLR, Jenkins, Git, Stash, Jira, Confluence, Splunk etc.)
Experience working in Agile/SAFe framework for development
Understanding of Generative AI concepts, including LLMs (Large Language Models), prompt engineering, embeddings, and vector databases.
Experience integrating GenAI capabilities into data platforms (e.g., semantic search, AI-driven analytics, automated data insights).
Excellent communication and analytical skills
Excellent team-player with ability to work with global team