Data Engineer

Job Description

Job Description

Essential Duties and Responsibilities :

• Engineering & Development
• Build and maintain scalable ETL / ELT pipelines for batch and streaming data.
• Write high-quality SQL and Python for data transformations and integrations.
• Optimize data models, queries, and workflows for performance and cost efficiency.
• Partner with analysts and data scientists to deliver reliable datasets for BI, analytics, and ML.
• Architecture & Infrastructure
• Contribute to the design of modern data warehouse and lakehouse solutions (Snowflake, Redshift, BigQuery, Databricks, etc.).
• Implement data orchestration and transformation frameworks (Airflow, dbt, Prefect).
• Support data infrastructure in the cloud (AWS / GCP / Azure), ensuring scalability, reliability, and security.
• Mentorship & Collaboration
• Provide technical guidance and informal mentoring to less experienced data engineers.
• Participate in code reviews, design discussions, and knowledge-sharing sessions.
• Promote best practices in coding standards, documentation, and testing.
• Quality & Operations
• Establish and maintain standards for data quality, observability, and reliability.
• Troubleshoot pipeline and infrastructure issues in production environments.
• Contribute to automation and monitoring efforts to reduce manual operations.

Minimum Qualifications :

Preferred Knowledge, Skills and Abilities :

You will be expected to work during normal business hours, which are Monday through Friday, 8 : 00 a.m. – 5 : 00 p.m. Please note this job description is not designed to cover and / or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties and responsibilities may change at any time with or without notice.