Data Engineer

Job Description

Exciting opportunity for a Data Engineer to develop, construct, and maintain data processing systems. You will work with large datasets and ensure data accuracy and performance. Candidates should be data-savvy, with experience in Python, SQL, and data visualization tools. Your innovation will drive efficiency and enhance our data-driven strategies.

Responsibilities

• Build data pipelines to automate data transfer and ensure data quality.
• Support data analytics teams by providing cleaned, structured data.
• Integrate third-party data sources and APIs as needed.
• Collaborate with stakeholders to understand data needs and improve data access.
• Implement monitoring solutions to ensure data processes run smoothly.
• Maintain data libraries and repositories in compliance with company policies.

Requirements

Education

• Bachelor's degree in Computer Science or related field
• Master's degree in Data Science is a plus

Experience

• 3+ years of experience in data engineering or data analytics

Technical Skills

• Java
• NoSQL Databases
• Data Warehousing

Soft Skills

• Problem-solving
• Communication

Certifications

• Google Cloud Professional Data Engineer
• AWS Certified Data Analytics

Languages

• English: Fluent

Advantageous

• Experience with Python libraries for data analysis (Pandas, NumPy): Practical experience using Python libraries for data manipulation and extraction.
• Familiarity with ETL automation frameworks: Experience with tools to automate ETL processes.

Benefits

• Attractive salary packages and incentives
• Full health benefits including dental and vision
• Employee wellness programs
• Paid time off and holidays
• Remote work flexibility as needed

Company Culture

• Respect and Inclusion: We respect diverse opinions and foster an inclusive workplace for all employees.
• Work-Life Balance: Our company promotes a healthy work-life balance and employee wellness.
• Community Engagement: We actively engage in community initiatives and support local organizations.