Disruptors for a sustainable future

At Anew, we are passionate about delivering meaningful, measurable climate impact in a decarbonizing economy. Inspired by our values of integrity, trust, creativity, and hope, and grounded by decades of experience and unsurpassed knowledge in environmental markets, we make it possible for organizations and communities to thrive while building a sustainable future.

We’re seeking high-energy, creative team players eager to apply their talents to the defining challenge of our time. If you’re committed to excellence and excited by the prospect of doing well by doing good, we look forward to hearing from you.

General Summary: As an IT Data Engineer Intern, you'll contribute to the development and maintenance of our data pipelines and infrastructure. You'll work alongside experienced data engineers, gaining hands-on experience with data extraction, transformation, and loading (ETL) processes, data warehousing, and related technologies. This internship offers a valuable opportunity to learn and apply data engineering principles in a real-world setting.

Primary Responsibilities and Competencies:

• Build and Maintain Databases and Data Warehouses
• Assist in the design, development, and maintenance of data pipelines.
• Help with data extraction, transformation, and loading (ETL) processes.
• Support the maintenance of data warehouses and data lakes.
• Write and optimize SQL queries for data retrieval and manipulation.
• Assist in monitoring and troubleshooting data pipelines and infrastructure.
• Contribute to data quality assurance and data validation processes.
• Document data engineering processes and procedures.
• Collaborate with Software Engineers and analysts to support their data needs.
• Learn and apply best practices for data storage, processing, and security.
• Assist in the implementation of cloud-based data solutions (Azure).

Required Education, Experience and Certification:

• Currently pursuing a degree in Computer Science, Data Science or Information Systems, or a related field
• Basic understanding of database concepts and SQL
• Familiarity with programming languages such as Python
• Basic knowledge of data warehousing and ETL processes
• Experience with cloud computing platforms ( Azure).
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with data visualization tools (e.g., PowerBi)
• Familiarity with scripting languages.
• Experience with data pipeline tools.

Skills:

• Ability to work effectively in a team environment
• Interest in learning and working with big data technologies
• Excellent attention to detail and accuracy
• Strong analytical and problem-solving skills
• Strong communication and interpersonal skills

Equal Employment

Anew is committed to providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, place of origin, political belief, religion, marital status, family status, physical or mental disability, sex, sexual orientation, gender expression, gender identity, age, or criminal conviction for which a pardon has been granted, or any other protected category under federal, state, provincial and local laws governing workplace discrimination.

Anew is committed to creating and maintaining a workplace in which all employees have an opportunity to participate and contribute to the success of the business and are valued for their skills, experience, and unique perspectives.