Work Location: Hyderabad (Hybrid Model)

Prestige Skytech, Financial District

Experience: 7 - 12 years

Mandatory Skills: Databricks, Snowflake,Pyspark, SQL

Job Summary

We are seeking a highly skilled Senior Data Engineer/Lead with solid expertise in PySpark, Databricks, Snowflake, DBT, and advanced SQL. The ideal candidate should have hands-on experience building enterprise-scale batch and real-time data pipelines, optimizing high-volume workloads, and designing modern data architectures.

The candidate should possess strong knowledge of Data Warehousing, Data Vault, Data Mesh, Lakehouse, Data Lake, and Microsoft Fabric architectures and should be capable of designing scalable enterprise solutions.

Key Responsibilities
Design and develop scalable batch and streaming data pipelines using PySpark and Databricks
Build and optimize enterprise data models and transformation pipelines using Snowflake and DBT
Develop advanced SQL scripts, stored procedures, and performance-optimized queries
Design and implement real-time streaming architectures




Build integrations using APIs, event-driven architectures, and cloud-native services
Optimize workloads for performance, scalability, and cost efficiency
Design enterprise data platforms using Lakehouse, Data Mesh, Data Vault, and Fabric principles
Work with cross-functional teams to build scalable analytics and data engineering solutions
Implement CI/CD and DevOps practices for data engineering pipelines
Provide technical leadership and mentor engineering teams

Required Skills
Solid hands-on experience with PySpark
Expertise in Databricks
Strong Snowflake experience
Strong DBT knowledge
Advanced SQL expertise
Strong experience with Stored Procedures and complex SQL optimization
Hands-on experience with streaming frameworks and real-time processing
Experience with REST APIs and enterprise integrations
Solid understanding of distributed data processing
Working knowledge of AWS and/or A

📌 Senior Data Engineer Hyderabad
🏢 Blumetra
📍 Hyderabad