Posted:Just now|
Platform:
Work from Office
Full Time
Principal AWS Data Engineer
Location : Bangalore
Experience : 9 - 12 years
Job Summary: In this key leadership role, you will lead the development of foundational components for a Lakehouse architecture on AWS and drive the migration of existing data processing workflows to the new Lakehouse solution. You will work across the Data Engineering organisation to design and implement scalable data infrastructure and processes using technologies such as Python, PySpark, EMR Serverless, Iceberg, Glue and Glue Data Catalog. The main goal of this position is to ensure successful migration and establish robust data quality governance across the new platform, enabling reliable and efficient data processing. Success in this role requires deep technical expertise, exceptional problem-solving skills, and the ability to lead and mentor within an agile team.
Must Have Tech Skills:
Prior Principal Engineer experience, leading team best practices in design, development, and implementation, mentoring team members, and fostering a culture of continuous learning and innovation
Extensive experience in software architecture and solution design, including microservices, distributed systems, and cloud-native architectures.
Expert in Python and Spark, with a deep focus on ETL data processing and data engineering practices.
Deep technical knowledge of AWS data services and engineering practices, with demonstrable experience of implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS Step Functions, API Gateway, Athena
Experience of delivering Lakehouse solutions/architectures
Nice To Have Tech Skills:
Knowledge of additional programming languages and development tools to provide flexibility and adaptability across varied data engineering projects
A master’s degree or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics) is advantageous
Key Accountabilities:
Key Skills:
Educational Background:
Bonus Skills:
Cognizant
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