Data Engineer
Indexed description
Responsibilities:
- Design, develop, and maintain ETL processes using Talend to extract, transform, and load data from various sources
- Collaborate with stakeholders to understand data integration requirements and ensure data is delivered accurately and on time
- Implement data quality checks and validation procedures to maintain data integrity
- Optimize data pipelines for performance and scalability, ensuring efficient data processing
- Monitor data flow and resolve any issues related to data processing or quality
- Document data architecture, ETL processes, and data lineage to enhance knowledge sharing within the team
- Stay updated on best practices and advancements in data engineering, Talend, and related technologies
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Proven experience as a Data Engineer, with a strong focus on Talend
- Expertise in ETL design and implementation using Talend data integration tools
- Solid understanding of database management systems, SQL, and data warehousing concepts
- Experience with data modeling and database design best practices
- Strong analytical and problem-solving skills, with attention to detail
- Familiarity with cloud data solutions (e.g., AWS, Azure) is a plus
- Excellent communication skills for collaborating with cross-functional teams and stakeholders
- A self-starter with the ability to work independently as well as part of a team
- Knowledge of data governance and data security practices
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
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