Role : Data Engineer

Location - Pune/Bangalore

Experience - 5 - 10 years

Key Responsibilities

Key Responsibilities

- Develop and maintain scalable data pipelines and integrations.
- Build automated data discovery, metadata extraction, and lineage solutions.
- Create queries and frameworks for data analysis, profiling, and reporting.
- Implement AI-powered capabilities such as schema mapping, NL-to-SQL, anomaly detection, and data quality monitoring.
- Integrate data from databases, Datalake, APIs, files, messaging systems, and cloud platforms.
- Collaborate with data engineers, architects, and AI teams to deliver contemporary data solutions.
- Establish data governance, cataloguing, monitoring, and observability practices.
- Support automation initiatives using AI agents and intelligent workflows.

Required Skills
- Strong SQL and data modelling expertise.




- Experience with ETL/ELT (Databricks), data pipelines, and orchestration platforms.
- Proficiency in Python (preferred), Scala, SQL
- Experience with cloud data platforms (Azure, AWS, GCP, Databricks, Snowflake, Fabric, etc.).
- Knowledge of APIs, event-driven architectures, and data governance.
- Familiarity with AI/LLM technologies, AI agents, Vector databases and knowledge graph concepts and query automation.

Nice to Have
- Neo4j, Knowledge Graphs, and graph-based data discovery.
- Azure AI Foundry, OpenAI, Claude, Codex or similar AI platforms.
- Experience with enterprise integration technologies, Kafka, and API management.

Email your updated profiles on [email protected]

📌 Azure Data Engineer (Bengaluru)
🏢 Intelliswift
📍 Bengaluru