Data Engineer

Title:

Data Engineer

Overview

Key Responsibilities

• Design & Develop Data Pipelines: Assist in building, maintaining, and optimizing scalable ETL/ELT data pipelines to ingest and transform large datasets from diverse sources, including APIs, databases, and third-party systems.
• Data Modeling & Warehousing: Support the development of robust data models and schemas in both relational and cloud-native data warehouses (e.g., Google BigQuery).
• Ensure Data Integrity: Monitor, troubleshoot, and improve the performance and reliability of data pipelines, ensuring data quality, consistency, and accuracy.
• Data Source Integration: Work with various data formats and sources, including structured, semi-structured, and streaming data.
• Data Governance & Security: Collaborate with senior engineers to enforce data governance, quality, and security standards across the organization.
• Code & Automation: Write clean, efficient, and well-documented code (SQL, Python) for data engineering tasks. Utilize Git and CI/CD principles for version control and automated deployments.
• Team Collaboration: Document data workflows and contribute to a shared knowledge base, providing ad-hoc support to data analysts and business users.
  

Required Skills & Experience

• Educational Background: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• Professional Experience: 1-3 years of hands-on experience in a data engineering or similar role.
• Technical Proficiency:
• Communication & Soft Skills:
• Availability: Able to join immediately.