Job Description

Role: Data Engineer/Forward Deployed Engineer(FDE)

Location: India (Remote)

Contract

Technical Skills:

Data Engineering : 10+ years of hands-on experience in building enterprise-scale data pipelines using PySpark, SQL, Python, Databricks.

Cloud Architecture: Deep expertise in Azure (Azure Data Factory, ADLS Gen2, Synapse, Event Hubs).

Data Platforms & Modeling: Strong experience with relational databases, Data Warehousing, Data Lakehouse paradigms, and Master Data Management (MDM) concepts.

DevOps & Governance: Experience with Git, Azure DevOps, CI/CD pipelines, automated testing, and enterprise data governance frameworks.

Hands-on experience to GenAI framework integrations (e.g., LangChain, AutoGen, LlamaIndex) for data augmentation and automated RCA workflows.

Consulting & Professional Capabilities:

Proven ability to work in fast-paced, high-touch client environments, managing conflicting priorities and ambiguity.

Exceptional verbal and written communication skills with the ability to convey complex technical concepts to non-technical business leaders.

Demonstrated experience working within cross-functional POD structures and global delivery teams.

Taking full accountability as the single point of ownership to lead and seamlessly execute end-to-end POD deliverables

Gather real-time feedback, fix edge-case bugs, and deploy updates in days rather than waiting for quarterly core product cycles

Prior experience supporting major Life Sciences / Pharmaceutical enterprise environments (e.g., R&D data fabric, clinical sample tracking, or commercial analytics).

Hands-on experience to GenAI framework integrations (e.g., LangChain, AutoGen, LlamaIndex) for data augmentation and automated RCA workflows.

Professional certifications in Azure Data Engineer (DP-203), Databricks Certified Data Engineer.