Junior Data Engineer

Job Description

Junior Data Engineer – Role Description & Qualifications

The Junior Data Engineer plays a crucial role in supporting the development and maintenance of robust data infrastructure. This position is central to ensuring efficient data collection, processing, and storage, with a strong focus on building reliable data pipelines and maintaining high-quality, accessible data for both analytical insights and operational efficiency.

Key Responsibilities

• Assist in the design and implementation of ETL/ELT pipelines to move and transform data.
• Integrate data from various sources (e.g., APIs, databases, files) into centralized data systems.
• Support the management and optimization of databases and data warehouses.
• Collaborate effectively with data analysts, data scientists, and other stakeholders to understand data requirements and ensure seamless data flow.
• Monitor data pipeline performance, proactively troubleshoot issues, and optimize processes for efficiency and reliability.
• Support data architecture initiatives and contribute to strategic data planning.
• Maintain thorough documentation for data processes, systems, and pipelines, ensuring clarity and maintainability.
• Adhere to best practices in data management and governance, ensuring data integrity, security, and compliance.
• Assist in automating workflows and improving overall data processing efficiency.

Qualifications

Technical Skills

• Foundational understanding of programming and data handling, particularly in:
  • Python (for scripting, data manipulation, and pipeline development)
  • SQL (for querying, managing databases, and data transformations)
• Familiarity with database systems (e.g., relational databases like PostgreSQL, MySQL; NoSQL databases).
• Knowledge of data modeling principles and schema design.
• Exposure to cloud platforms (e.g., AWS, Azure, GCP) and their data services is advantageous.
• Experience with data pipeline tools and workflow orchestration frameworks (e.g., Apache Airflow, Prefect, Dagster) is considered a strong plus.

Soft Skills & Attributes

• Strong analytical thinking and robust problem-solving skills.
• Exceptional attention to detail in all data-related tasks.
• Ability to learn quickly and adapt to new technologies and evolving data landscapes.
• Proven capability to collaborate effectively within a team environment and communicate technical concepts clearly.
• Demonstrates curiosity, initiative, and a genuine passion for working with data and solving complex data challenges.

Education & Experience

• A degree in Computer Science, Information Technology, Engineering, or a closely related technical field is preferred.
• While an entry-level role, any relevant coursework, personal projects, or internships demonstrating proficiency in data engineering concepts are highly valued.