VI
Job Description
- Design, develop, and maintain ETL processes using Talend.
- Manage and optimize data pipelines on Amazon Redshift.
- Implement data transformation workflows using DBT (Data Build Tool).
- Write efficient, reusable, and reliable code in PySpark.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions.
- Ensure data quality and integrity through rigorous testing and validation.
- Stay updated with the latest industry trends and technologies in data engineering.
- Requirements:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer or similar role.
- High proficiency in Talend.
- Strong experience with Amazon Redshift.
- Expertise in DBT and PySpark.
- Experience with data modeling, ETL processes, and data warehousing.
- Familiarity with cloud platforms and services.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
- Preferred Qualifications:
- Experience with other data engineering tools and frameworks.
- Knowledge of machine learning frameworks and libraries.