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AWS Data Engineer
2 months ago
PBT Group is seeking an experienced AWS Data Engineer to join our team. As a key member of our agile team, you will play a pivotal role in constructing and maintaining data pipelines and datamarts, emphasizing scalability, repeatability, and security.
Key Responsibilities- Architecting data analytics frameworks to meet business requirements.
- Designing and developing high-performance software solutions to translate complex functional and technical requirements.
- Leading the development of data and batch/real-time analytical solutions by leveraging transformative technologies.
- Overseeing user story analysis, design, software development, testing, and automation tool creation.
- A minimum of 5 years of experience in Data Engineering or Software Engineering.
- Demonstrated leadership experience, managing teams of engineers for 3-5 years.
- A minimum of 2 years of experience in Big Data.
- At least 5 years of experience with Extract, Transform, and Load (ETL) processes.
- A minimum of 2 years of experience with AWS (Amazon Web Services).
- Demonstrated experience with agile or other rapid application development methodologies for at least 2 years.
- 5 years of proven expertise in object-oriented design, coding, testing patterns, and working with commercial or open-source software platforms and large-scale data infrastructures.
- Proficiency in creating data feeds from on-premise to AWS Cloud.
- Support experience for data feeds in production on a break-fix basis.
- A minimum of 4 years of experience in creating data marts using Talend or similar ETL development tools.
- Proficiency in data manipulation using Python and PySpark.
- Experience in processing data using the Hadoop paradigm, particularly with EMR, AWS's distribution of Hadoop.
- DevOps experience in Big Data and Business Intelligence, including automated testing and deployment.
- Extensive knowledge of various programming or scripting languages.
- Expertise in data modeling and an understanding of different data structures and their suitability for specific use cases.
- The ability to design highly scalable distributed systems using various open-source tools.
- Proficiency in both batch and streaming Big Data tools.
- Experience with Talend for at least 1 year.
- Familiarity with AWS services such as EMR, EC2, and S3 for at least 1 year.
- Proficiency in Python for at least 1 year.
- Familiarity with PySpark or Spark (desirable for at least 1 year).
- Experience in Business Intelligence data modeling for 3 years.
- Proficiency in SQL for 3 years.
- A Bachelor's degree in computer science, computer engineering, or equivalent work experience for a minimum of 4 years.
- AWS Certification, at least at the associate level.