Role Overview
We are seeking a talented ETL Data Engineer to join our dynamic team. The ideal candidate will be responsible for the design, implementation, and maintenance of data extraction, transformation, and loading processes. You will collaborate with data analysts and business stakeholders to ensure data integrity and accessibility. This role requires a strong understanding of data architecture and a passion for optimizing data flow across various systems.
Key Responsibilities:
- Design and develop ETL processes to support data integration strategies.
- Maintain and optimize existing data pipelines for performance improvement.
- Work closely with stakeholders to identify data requirements and transformation rules.
- Monitor data flow and quality control to ensure data accuracy.
- Collaborate with data scientists to enhance data accessibility and usability.
- Troubleshoot and resolve any data issues that arise during ETL processes.
- Document ETL processes and data flows to provide clear guidelines for team members.
- Improve and maintain the existing data architecture to align with best practices.
- Conduct periodic performance evaluations and recommend improvements.
- Stay updated with the latest trends in data engineering technologies.
Required Skills:
- Proficiency in SQL and database design principles.
- Experience with ETL tools such as Talend or Informatica.
- Strong knowledge of data warehousing concepts and technologies.
- Familiarity with cloud platforms like AWS or Azure.
- Proficient in programming languages such as Python or Java.
- Experience with data modeling and data architecture.
- Strong problem-solving skills in a data-driven environment.
- Ability to work with large datasets and data integration processes.
- Knowledge of data governance and compliance standards.
Preferred Skills:
- Experience with Apache Spark or Hadoop framework.
- Familiarity with NoSQL databases like MongoDB or Cassandra.
- Knowledge of data visualization tools such as Tableau or PowerBI.
- Understanding of machine learning and data analytics principles.
