Senior Data Engineer

Job Description

• Skill Set :

  Databricks

• Total Experience :

  8.00 to 15.00 Years

• No of Openings :

  1

• Job Post Date :

  05/10/2026

• Job Expiry Date :

  19/11/2026

• Domain :

  IT

• Location :

  BENGALURU [India]

• Job Reference No :

  4111018

Job Summary

Job Description:

• 8 to 15 experiences in Azure databricks environment.
• Design, develop, and implement data engineering modules from the ground up based on business requirements.
• Gather requirements from business stakeholders and translate them into scalable data solutions.
• Design and develop robust ETL/ELT pipelines for structured and unstructured data.
• Build and maintain data ingestion, transformation, and data quality frameworks.
• Develop and optimize data models, data warehouses, and data marts.
• Integrate data from multiple enterprise systems such as SAP, Oracle, Salesforce, APIs, and flat files.
• Ensure data governance, security, and compliance standards are followed.
• Perform performance tuning and optimization of data pipelines and databases.
• Collaborate with data analysts, data scientists, architects, and business teams to deliver data solutions.
• Implement monitoring, alerting, and operational support for production data pipelines.
• Lead technical discussions, conduct code reviews, and mentor junior team members.
• Troubleshoot complex data issues and provide long term solutions.
• Strong experience in ETL/ELT development.
• Expertise in data Modeling (Dimensional Modeling, Star Schema, Snowflake Schema).
• Experience with batch and real time data processing.
• Strong SQL development and performance tuning skills.

Big Data Technologies

• Apache Spark
• PySpark, databricks, sql, power BI (basic)
• Cloud Platforms (One or More)
• Microsoft Azure (ADLS, Databricks

• Work Location : Bangalore (ITPL)

  Mode Of Work : Work From Office only

  NOTE: Face-To-Face Interview is mandatory.