Job
- Level
- Experienced
- Job Field
- System, IT
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Technologies
Your role in the team
- Through your expertise, you will develop high-performance Spark projects of the highest quality that drive highly scaled data processes
- With successful data processing and recording in AWS S3 in real time, you show that you can manage even the largest amounts of data in a targeted and self-confident manner.
- By implementing CI/CD pipelines you ensure that DevOps principles are respected and
- uses these pipelines to provide even more targeted, more stable solutions for our customers with huge Big Data applications.
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Our expectations of you
Education
- Degree in computer science, computer science, data engineering or a comparable degree
Qualifications
- Knowledge of Python, Scala, Java, Spark, PySpark, SQL
- Troubleshooting, development and optimization of complex Spark queries
- Ability to work with complex data sets, data lakes and warehouses
- Advantage: Knowledge of data migration to AWS S3 using Sqoop / Apache Spark and real-time data management in AWS S3
- Good German (B1) and fluent English skills
Experience
- Experience in tools like Apache Spark, AWS Glue, Athena, AWS Lambada, Amazon Redshift, RDS
- Advantage: experience in version control systems (e.g. Git)
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Benefits
More net
Work-Life-Integration
Job Locations
This is your employer
Accenture GmbH
Wien, Linz
Accenture is one of the world's leading professional services firms, renowned for its consulting and outsourcing services with a focus on Strategy, Digital, Technology and Operations.
Description
- Founding year
- 1993
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(3 Reviews)3.8
Workingconditions
4.3Engineering
3.0Career Growth
3.8Culture
3.9