Overview
Lead the design and delivery of enterprise data platforms and AI-ready solutions. This hands-on role builds scalable data pipelines, integrations, data products, RAG pipelines, and agentic AI capabilities.
What you'll do
- Design and optimize batch, streaming, CDC, and event-driven data pipelines.
- Architect secure, resilient, high-performance cloud data platforms.
- Develop Databricks, Apache Spark, Delta Lake, and Lakehouse solutions.
- Implement Snowflake ingestion, transformation, governance, orchestration, and consumption patterns.
- Engineer AWS data platforms with automation, observability, and high availability.
- Build integration frameworks, APIs, CDC processes, and enterprise connectivity patterns.
- Develop RAG pipelines, vector retrieval, context engineering, and agentic workflows.
What you'll need
- 12+ years of software engineering and/or data engineering experience.
- Bachelor's or Master's degree in a relevant discipline, or equivalent practical experience.
- Advanced hands-on expertise in Python, SQL, data modeling, ETL/ELT, CDC, batch, and streaming.
- Strong Apache Spark, PySpark, distributed processing, performance tuning, and troubleshooting experience.
- Hands-on enterprise experience with Databricks, Delta Lake, Snowflake, and AWS.
- Experience with CI/CD, automated testing, monitoring, governance, data quality, security, and operational support.
- Experience with Generative AI technologies, enterprise integrations, APIs, metadata, lineage, and access controls.
Details
- Location: Hyderabad, India.
Read the full description and apply on the company’s own careers page.
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