Data Analytics Engineer

Overview

Challenges you would face

• Design, develop, and maintain scalable and robust ETL pipelines using Python, SQL, and other relevant technologies
• Work with data warehousing platforms such as Snowflake or Google
• BigQuery to manage, optimize, and ensure data integrity and consistency
• Utilize dbt for data modeling and transformation to support analytics and data science initiatives
• Integrate various data sources, including third-party APIs, into the data ecosystem
• Collaborate with data scientists, analysts, and other stakeholders to understand data needs and implement solutions
• Monitor and ensure performance, uptime, and scalability of data systems and processes
• Document, test, and maintain data workflows and codebase
• Participate in code reviews, share knowledge, and mentor junior team members
• Stay updated with the latest trends in data engineering and continuously seek opportunities to innovate and optimize current processes

The ideal candidate

• Bachelor’s degree in Computer Science, Engineering, Business/Finance, or a related field
• 4-6 years of hands-on experience in data engineering, analytics, or a similar role
• Proficiency in Python and SQL
• Experience with data warehousing platforms such as Snowflake or Google BigQuery
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
• Solid understanding of ETL processes and tools (such as dbt)Experience in integrating and working with APIs
• Strong analytical and problem-solving skills
• Effective communication skills, both written and verbal, with the ability to work in cross-functional teams
• Strong attention to detail and a commitment to producing high-quality results

Plus

• Master’s degree in a related field
• Experience with data visualization tools like Tableau, Power BI, or Sigma Computing
• Knowledge of other programming languages or tools relevant to the field

What the company offers