AWS Databricks Engineer

Hello All,

Greetings from ZettaMine!!!

Role: Databricks Data Engineer

Experience: 8+ Years

Location: Hyderabad, PAN INDIA

Notice Period: Immediate Joiners

**Primary Skills: Databricks Apache Spark PySpark Spark SQL Python Scala Delta Lake ETL/ELT Pipelines Batch & Real-Time Data Processing AWS Data Modeling (Star/Snowflake) Power BI Performance Optimization MLflow CI/CD Git Data Governance Agile Scrum**

Hiring for one of the Big 4’s Clients

We are looking for Immediate to 15 Days Joiners

Job Description :

We are seeking a highly skilled Databricks Data Engineer with strong experience in designing, developing, and maintaining scalable data solutions on the Databricks platform. The ideal candidate should possess hands-on expertise in Apache Spark, PySpark, Delta Lake, ETL/ELT pipelines, AWS cloud services, and data modeling. Experience working closely with architects, BI teams, and data science teams to deliver enterprise-grade analytics solutions is essential.

Key Responsibilities :

• Design, develop, and optimize large-scale data processing solutions using Databricks.
• Build and maintain robust ETL/ELT pipelines for batch and near real-time data ingestion.
• Develop data transformation workflows using Apache Spark, PySpark, Spark SQL, Python, and Scala.
• Implement and manage Delta Lake features including ACID transactions, schema evolution, and performance optimization.
• Design and develop analytical and dimensional data models using Star Schema and Snowflake Schema methodologies.
• Integrate and manage data stored in AWS cloud storage platforms.
• Collaborate with business stakeholders, data architects, BI developers, and data scientists to deliver end-to-end data solutions.
• Ensure adherence to coding standards, documentation requirements, and data engineering best practices.
• Troubleshoot and optimize data pipelines for performance, scalability, reliability, and cost efficiency.
• Participate in code reviews, technical discussions, and Agile ceremonies.

Roles & Responsibilities :

• Develop scalable data engineering solutions on the Databricks platform.
• Build and optimize data ingestion frameworks and transformation pipelines.
• Maintain high-performance data lakes using Delta Lake architecture.
• Create reusable frameworks, notebooks, and automation components.
• Support reporting and analytics initiatives through Power BI integration.
• Implement CI/CD best practices for Databricks deployments.
• Collaborate with cross-functional teams to deliver business-focused solutions.
• Ensure compliance with enterprise data governance and security standards.
• Monitor, troubleshoot, and enhance the reliability of production data platforms.
• Support ML and AI initiatives through feature engineering and model data preparation.

Interested candidates share your updated CV to [email protected] or WhatsApp to 8977318915.

Thanks& Regards,

Praneeth