We are Hiring Senior FDE

Location: Pan India

Experience: 10+ Years

Notice Period : Immediate Joiner

Key Responsibilities
Design, develop, and optimize scalable data engineering solutions using Databricks .
Build high-performance applications and pipelines using Apache Spark/PySpark .
Lead legacy-to-Databricks/Spark migration initiatives.
Design and implement production-grade ETL/ELT and data integration frameworks .
Design modern Lakehouse architectures using Delta Lake and Unity Catalog .
Implement data governance, security, scalability, and performance optimization practices.
Work across AWS, Azure, or GCP cloud environments.
Develop and automate CI/CD pipelines for data engineering deployments.
Troubleshoot complex production issues and optimize Spark/Databricks workloads.
Collaborate with customers, architects, engineering teams, and other stakeholders to deliver enterprise data solutions.
Contribute to emerging GenAI, RAG, MLOps,



and AI-driven data engineering initiatives.

Mandatory Skills
10+ years of overall IT experience with 7+ years in Data Engineering .
Strong hands-on experience with Databricks .
Expert-level knowledge of Apache Spark and PySpark .
Experience delivering 4–5+ Spark/Data Migration projects .
Experience with multiple Databricks implementations (ideally 6–8) .
Strong experience with at least one cloud platform: AWS, Azure, or GCP .
Strong knowledge of Data Architecture and Data Integration .
Hands-on experience with Delta Lake and Unity Catalog .
Solid Python and SQL skills.
Experience with CI/CD tools such as Azure DevOps, Jenkins, Git, Terraform, etc.
Solid production support, troubleshooting, and performance optimization experience.
Databricks Skilled Certification is preferred.

📌 Senior Fde Pune (India)
🏢 Talentmatics
📍 India