Senior Data Engineer

Role Overview :

We are seeking a highly skilled Senior Data Engineer with a strong background in building scalable data pipelines, performing complex data transformations, and enabling analytics workloads.

The ideal candidate should have hands-on experience with Databricks on AWS, PySpark, and Python, with a working understanding of ETL orchestration and automation.

Familiarity with Informatica DEI is a plus, as the role may involve refactoring existing Informatica workflows into PySpark.

Key Responsibilities:

• Design and implement robust, scalable data pipelines using Databricks on AWS and PySpark
• Perform data ingestion, transformation, cleansing, and validation from various sources
• Collaborate with analytics and data science teams to deliver high-quality data for reporting and modeling
• Understand and translate Informatica DEI workflows into Databricks-based implementations (if applicable)
• Optimize and automate ETL workflows for performance and cost-efficiency
• Ensure data quality, lineage, and governance are upheld in all solutions

Required Skills & Experience:

• Minimum 8 years of experience in Data Engineering
• Strong proficiency in Databricks on AWS, PySpark, and Python
• Solid experience in ETL development, data transformations, cleaning, data quality frameworks/standards, and pipeline automation
• Understanding of data quality principles and performance tuning techniques - Familiarity with Informatica DEI is a nice to have
• Excellent communication skills in client-facing environments

2. SKILLS

Data Engineering, Data Science, ETL, Informatica, Java