Why This Role Stands Out
This hybrid AWS Data Engineer role offers significant growth opportunities within a reputable company, allowing you to leverage your extensive Python and AWS expertise to build impactful data solutions. You'll thrive here if you possess strong analytical skills and enjoy collaborating with a dynamic team, and the competitive compensation makes this an excellent opportunity to advance your career. Apply now to shape the future of data at SmartIT Frame!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Atlanta, GA, United States
Posted
3 weeks ago
SQLAWSHadoopHivePythonRedshiftTerraform
Job Description
Role : AWS Data Engineer:
Location:- Alanta, GA
- Qualifications (Data Engineer/Python Developer)
- 10+ years hands-on Python development experience for big data application.
- Extensive working experience in implementing scalable and efficient data processing pipelines using big data technologies, such as Hadoop/EMR, Spark, Hive.
- Strong development experience in AWS platforms/services such as Lambda, Eventbridge, Step Functions, Redshift, S3, Glue.
- Extensive hands-on development experience in making API calls, SQL queries, data manipulation/transformation, analysis and visualization.
- Strong experience in data analysis/mining, hands-on experience on analyzing large datasets and extracting meaningful insights.
- Solid understanding and hand-on implementation experience in CI/CD pipeline. Familiar with tools such as Gitlab/Terraform.
- Critical thinking and strong analytical skills to drive solutions, alternative plans, and conclusions
- Collaborates effectively and forms positive partnerships with team members in groups and levels across a matrixed organization
- Possess strong analytical and problem-solving skills
Skills
- Required 10+ years of Python development experience for big data application
- Required 5+ years of development experience in AWS platforms/services such as EMR, Lambda, Eventbridge, Step Functions, Redshift, S3, Glue
- Required 5+ years of development experience in making API calls, SQL queries, Spark, data manipulation/transformation, analysis and visualization
- Hands on experience with CI/CD pipeline tools such as Gitlab/Terraform
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