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Mid-level Bengaluru data/AI role with popular skills and hybrid location, increasing candidate competition.
Data engineering, Python, and SQL skills are broadly transferable across industries.
Explicit 3–5 years requirement plus preferred Databricks/dbt/Kafka skills imposes moderate shortlisting strictness.
Design, build, and maintain scalable data pipelines and AI/ML solutions supporting data centre operations and business intelligence.
Develop and integrate LLM-based applications and AI workflows using tools like OpenAI, Databricks, and LangChain under senior guidance.
Support deployment, monitoring, and lifecycle management of data and AI workloads within cloud platforms such as Azure and Databricks.
3 to 5 years of experience in data engineering, software engineering, or AI/ML engineering with cloud exposure.
Proficiency in SQL and Python for data processing and transformation.
Experience with modern data tools and platforms such as Databricks, dbt, Kafka, and familiarity with data modeling concepts.
Working knowledge of cloud environments (Azure, AWS, or GCP) and software engineering best practices (version control with Git, testing, code quality).
Engineer with strong foundation in software and data engineering aiming to deepen skills in modern data platforms and AI technologies.
Experienced in building production-ready data pipelines and AI/ML models with some familiarity deploying and managing these in cloud environments.
Collaborative team contributor comfortable working alongside senior engineers and translating stakeholder needs into technical solutions.