Job Title: Senior Data Engineer

Locations: Multiple, Bangalore, Chennai, Hyderabad, India

Work Arrangement: Remote Work from Home

About This Role:

We are seeking a talented and experienced Senior Data Engineer to join our data engineering team. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure on cloud platforms. This role requires expertise in contemporary data engineering tools and a robust foundation in data transformation and optimization.

Key Responsibilities
Design and develop robust, scalable data pipelines using Azure Data Factory (ADF)
Build and optimize data processing workflows using Databricks and Apache Spark
Implement declarative pipeline solutions using Lakehouse architecture and best practices
Write and optimize complex SQL queries for data transformation and analysis
Develop PySpark applications for large-scale data processing
Collaborate with data scientists, analysts, and stakeholders to understand data requirements
Ensure data quality, security, and compliance across all pipelines




Monitor, troubleshoot, and optimize data pipeline performance
Document technical solutions and maintain best practices documentation
Mentor junior team members and contribute to team knowledge sharing

What we're Looking For

We need a Senior Data Engineer who is:
Proficient in building scalable data solutions using Azure and Databricks
Skilled in SQL and PySpark for data transformation and processing
Capable of implementing declarative, maintainable pipeline architectures
Detail-oriented with a focus on data quality and performance optimization
Team-oriented and able to work effectively with cross-functional teams
Proactive in staying current with emerging data engineering technologies and best practices
Communicative and able to explain complex technical concepts clearly

Required Skills & Experience

Must-Have Technical Skills
Azure Data Factory (ADF)“ Proven experience desig

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