Data Engineer
Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Key Responsibilities:
Designing and implementing scalable processes to manage large data sets ensuring quality and consistency across sources. This involves developing and maintaining data pipelines creating optimal extraction patterns and aligning cloud strategy with data architecture. As the Data Engineer you will also engineer data formats for analytics develop APIs for applications and collaborate with stakeholders to deliver solutions while driving process improvements enhancing scalability and supporting testing and deployment of new features.
Minimum Requirements:
- At least 4 years of relevant data engineering experience
- Bachelors degree in computer science business informatics mathematics statistics engineering or related field
- Strong understanding of data structures algorithms and software design
- Experience with structured and unstructured data data stores RDBMS and data warehouses
- Proficiency in cloud tools (e.g. Redshift Athena Glue Lambda)
- Proficiency in programming languages such as Python Scala Java or C
- Experience with Apache Spark and cloud services (AWS Azure GCP)
- Knowledge of version control systems like Git and SVN
- Familiarity with DevOps practices including CI/CD and Infrastructure as Code
- Exposure to AWS platform environments such as CodePipeline CodeBuild CodeDeploy
- Experience with big data ETL and data management processes
- Experience in API development and cloud architecture
- Strong analytical and problemsolving abilities
- Ability to work collaboratively in an agile environment
Additional Skills & Attributes needed:
- Ability to work effectively with crossfunctional teams
- Strong communication skills to articulate complex data concepts to nontechnical stakeholders
- Continuous learning mindset and commitment to professional development
- Innovative thinking and flexibility to adapt to changing business needs
- Integrity accountability and strong work ethic
- Enthusiasm for experimenting with new technologies and methodologies
Employment Type
Full-Time
