Data Engineer - TNEX Finance

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.