Data Engineer
WAVZ for Digital Transformation
Employer Active
Posted on 2 Apr
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Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Job Description
- Design and implement robust data pipelines and batch/streaming data processing workflows to collect, transform, and load data from various sources.
- Develop highly scalable, fault-tolerant, and secure data storage and management solutions using technologies such as data warehouses, data lakes, and NoSQL databases.
- Optimize data processing performance and efficiency using distributed computing frameworks, in-memory processing, and other advanced techniques.
- Develop reusable data engineering components and libraries to support the self-service needs of data scientists and business analysts.
- Collaborate with the data science team to ensure the reliable and timely availability of high-quality data for model training and deployment.
- Automate data quality monitoring, data lineage tracking, and metadata management to ensure the integrity and governance of our data assets.
- Contribute to the evolution of our data architecture and technology stack, staying up to date with the latest industry trends and best practices.
- Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.
Desired Candidate Profile
Job Requirements
- Bachelor s or master s degree in computer science, Data Engineering, or a related technical field.
- 5+ years of experience in data engineering, with a proven track record of designing and implementing large-scale data platforms.
- Proficient in SQL and data modeling.
- Experience with any orchestration/ETL tool.
- Strong programming skills, preferably in Python.
- Familiarity with data engineering best practices, including data modeling, data quality, and data governance.
- Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team.
- Strong communication and interpersonal skills to effectively interact with cross-functional stakeholders.
Qualifications Requirements
- Teradata and/or Informatica experience is a plus.
- Proficiency in one/two programming languages like Python, Scala, or Java, and experience with SQL and NoSQL databases.
- Familiarity with modern data visualization and business intelligence tools (e.g., Tableau, Power BI, Looker).
- Experience in developing and deploying machine learning models as part of data-driven applications.
- Proficiency in Informatica PowerCenter for ETL and data integration.
- Experience in Big Data Management (BDM) and the implementation of data governance and data quality frameworks.
Company Industry
- IT - Software Services
Department / Functional Area
- IT Software
Keywords
- Data Engineer
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WAVZ for Digital Transformation