Verified Job
Work from home
Senior AWS Data Engineer
Work from home
#628103
Remote / WFH
Job Description
This a Full Remote job, the offer is available from: Anywhere
This is a remote position.
Overview :
• 712 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, welldocumented, 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, ****** 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 parttime work, working outside normal 95 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.
This offer from "Exavalu" has been enriched by Jobgether.com and got a 82% flex score.
This is a remote position.
Overview :
• 712 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, welldocumented, 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, ****** 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 parttime work, working outside normal 95 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.
This offer from "Exavalu" has been enriched by Jobgether.com and got a 82% flex score.
