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Senior AWS Data Engineer
Exavalu
posted 1 week ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Job_Description":"
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\u201312 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.
BenefitsAt 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.
","Job_Type":"Full time","
- 7\u201312 years of experience in ETL and Data Engineering roles.
Employment Type: Full Time, Permanent
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What Exavalu employees are saying about work life
based on 66 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Exavalu Benefits
Work From Home 
Health Insurance 
Job Training 
Soft Skill Training 
Team Outings 
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