Brillio 23mo ago

Senior Databricks Engineer - R01558783

ChennaiEmployeesenior

Data ScienceOtherData EngineeringEngineer

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Quick Summary

Key Responsibilities

• Design and implement data pipelines and ETL processes using Databricks and PySpark. • Develop and optimize SQL queries for data transformation and analytics. • Collaborate with data architects,

Requirements Summary

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. • Proven experience in building and managing data pipelines in cloud environments.

Technical Tools

Data ScienceOtherData EngineeringEngineer

Senior Data Engineer (Data Bricks)

ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, PLSQL, T-SQL, Stored Procedures

Modern Data Platform Fundamentals, Data Modelling Fundamentals, Data Ware Housing

Databricks

Cloud

Databricks Engineering: Senior Data Engineer

Role Overview:

We are seeking a highly skilled Databricks Engineer to design, develop, and optimize data pipelines and analytics solutions. The ideal candidate will have strong expertise in Databricks, PySpark, and SQL, with experience in building scalable data solutions across cloud platforms.

Key Responsibilities:

• Design and implement data pipelines and ETL processes using Databricks and PySpark.

• Develop and optimize SQL queries for data transformation and analytics.

• Collaborate with data architects, analysts, and business stakeholders to deliver high-quality data solutions.

• Ensure data quality, governance, and compliance across all processes.

• Integrate data from multiple sources and manage large-scale datasets efficiently.

• Troubleshoot and optimize performance for data workflows and queries.

Primary Skills (Must-Have):

• Databricks (including Delta Lake and ML capabilities)

• PySpark for distributed data processing

• SQL for data manipulation and analytics

Good-to-Have Skills: