Data Engineer - TNEX Finance - Jobs at TNTalent Human Resources Management JSC.

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Job Benefit

Data Pipeline Development: Design and implement ETL/ELT pipelines using modern data stack tools (e.g., dbt, Airflow, Airbyte, Redshift).
Data Infrastructure: Build and maintain scalable and efficient data platform on AWS, leveraging services including but not limited to S3, Glue, Athena, Lambda, and Redshift.
Data Quality and Governance: Ensure data quality, integrity, and compliance with governance standards through monitoring and validation techniques.
Collaboration: Work closely with data scientists, analysts, and stakeholders to understand data requirements and deliver appropriate solutions.
Performance Optimization: Optimize database and query performance for large-scale data environments.
Automation and CI/CD: Implement automated workflows for deployment and monitoring of data pipelines using CI/CD practices.
Mentorship: Provide technical guidance to junior data engineers and share best practices for data engineering.

Education: Bachelor’s degree or higher in Computer Science, Information Systems, Engineering, or a related field.
Experience: Minimum 5+ years of experience in data engineering or a similar role.
Technical Skills:
- Proficiency in SQL and at least one programming language (e.g., Python or Java).
- Hands-on experience with modern data stack tools such as dbt, Airflow, or similar.
- Expertise with AWS services, including S3, Redshift, Glue, Lambda, and Athena.
- Knowledge of data modeling techniques and schema design for data warehouses.
- Experience with distributed systems and big data technologies (e.g., Spark, Kafka).
Cloud Experience: Proven track record of building and managing data infrastructure on AWS or GCP, Azure.
Soft Skills: Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.