Data Engineers
Data Engineers
Posted on :
24-09-2024
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1 Vacancy
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Job Description
- Design and implement robust ETL/ELT processes to extract transform and load data from various sources into data warehouses and lakes.
- Manage and optimize data pipelines for performance and reliability.
- Conduct data preprocessing and cleaning to ensure data quality and integrity.
- Collaborate with crossfunctional teams to understand data requirements and deliver timely solutions.
- Handle both structured and unstructured data from various databases including Oracle MySQL MongoDB and DB2.
- Utilize tools like Jupyter Notebook and Power BI for data analysis and visualization.
- Develop and maintain documentation for data engineering processes and workflows.
- Monitor and troubleshoot data pipeline issues and implement solutions for continuous improvement.
Requirements
- Bachelor s degree in Computer Science Information Technology or a related field.
- 5 years of handson experience as a Data Engineer or in a similar role.
- Strong expertise in ETL/ELT processes and data preprocessing techniques.
- Proficient in working with databases: Oracle MySQL MongoDB and DB2.
- Solid experience with data pipeline management and orchestration tools.
- Strong programming skills in Python and PySpark; familiarity with Scala is a plus.
- Experience using VS Code for development.
- Ability to handle structured and unstructured data effectively.
- Familiarity with data visualization tools especially Power BI.
- Excellent problemsolving skills and attention to detail.
Preferred Qualifications:
- Experience with cloudbased data platforms (e.g. AWS Azure) is a plus.
- Understanding of data warehousing concepts and best practices.
- Knowledge of big data technologies and frameworks.
Bachelor s degree in Computer Science, Information Technology, or a related field. 5 years of hands-on experience as a Data Engineer or in a similar role. Strong expertise in ETL/ELT processes and data preprocessing techniques. Proficient in working with databases: Oracle, MySQL, MongoDB, and DB2. Solid experience with data pipeline management and orchestration tools. Strong programming skills in Python and PySpark; familiarity with Scala is a plus. Experience using VS Code for development. Ability to handle structured and unstructured data effectively. Familiarity with data visualization tools, especially Power BI. Excellent problem-solving skills and attention to detail. Preferred Qualifications: Experience with cloud-based data platforms (e.g., AWS, Azure) is a plus. Understanding of data warehousing concepts and best practices. Knowledge of big data technologies and frameworks.
Employment Type
Full Time
Key Skills
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