Company Description

Exavalu is a leader in business and technology consulting and solution delivery, focusing on digital transformation in the Insurance, Healthcare, Life Sciences, and Nonprofit industries. As an award-winning digital transformation advisor, Exavalu delivers leading-edge solutions to clients worldwide. Led by industry veterans and technology experts, we bring a deep understanding of customer experience, process automation, digital engineering, cloud, data, and AI, enabling clients to drive growth, profitability, and cost optimization. With a comprehensive suite of services, including strategic advisory, expert-led technology solutions, and best-in-class products and solutions, we mitigate risks and elevate customer experiences. Our commitment to understanding industry challenges and providing the right solutions has made us the preferred ally for organizations seeking transformative growth.

This is a remote position.

Overview :

7-12 years of experience using AWS Data Landscape and data Ingestion pipeline.
Able to understand and explain the data ingestion from different sources like file, database, applications etc.
Build and enhance the Python, PySpark Based Framework for ingestion.Data engineering experience in AWS Data Services like Glue, EMR, Airflow, CloudWatch, Lambda, Step functions, Event triggers.
Able to work as a senior engineer with sole interaction point with different business functional teams.

Requirements

7–12 years of experience in ETL and Data Engineering roles.
AWS Glue, PySpark, and Amazon Redshift.
Strong command of SQL and procedural programming in cloud or enterprise databases.
Deep understanding of data warehousing concepts and data modeling.
Proven ability to deliver efficient, well-documented, and scalable data pipelines on AWS.
Familiarity with Airflow, AWS Lambda, and other orchestration tools is a plus.
AWS Certification (e.g., AWS Data Analytics Specialty) is an advantage.

Benefits

At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.

Exavalu also promotes flexibility depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.

Sr. AWS Data Engineer