Data Engineer

Job Information

Level I or II depending on experience.

As a Data Engineer, you'll embark on an exciting journey to transform raw data into valuable insights that fuel informed decision-making across our global enterprise. Working alongside experienced team members, you'll hone your analytical skills, learning to uncover trends and patterns hidden within vast datasets. You'll play a vital role in collecting and preparing data, conducting basic analysis under expert guidance, and contributing to the creation of insightful reports and visualizations. This is your chance to launch a fulfilling career in data engineering, gaining hands-on experience with cutting-edge technologies like dbt and Snowflake in a dynamic, multinational environment.

Role & Responsibility

General

• Demonstrate the ability to collaborate effectively with others to achieve common objectives.
• Consistently focus on delivering high-quality outcomes and meeting established goals.
• Thrives in ambiguous situations and possesses a proactive problem-solving attitude.
• Proven ability to explore complex datasets, identify key trends, and translate analytical findings into actionable business insights.

Data Engineering

• Proficient in writing and optimizing SQL queries for data extraction, loading and transformation (ELT) processes
• Proficiency in programming languages such as Python or Java for scripting and data manipulation tasks. 
• Experience working with databases, preferably cloud columnar databases such as Snowflake and SQL knowledge. 
• Familiarity with basic data modeling concepts and techniques

Quality Assurance

• Perform data cleansing and validation tasks to ensure data accuracy and integrity.
• Implement data quality checks and alerts within data pipelines.

Stakeholder Engagement

• Communicate with source system experts to gather information about data sources, structures, and business rules.
• Collaborate with data analysts and business stakeholders to gather and understand data requirements.

Support and Troubleshooting

• Provide support for data-related issues and troubleshoot problems as they arise.
• Monitor data pipeline performance and address any disruptions or failures.

Job Requirement

General:

• Education: Bachelor's Degree or above in Computer Science (Information Management) or Statistics
• Experience: 0-2 years
• Travel Standard: <10%
• Global Breadth: Global

Knowledge and Skills:

• Strong attention to detail and organizational skills
• Intermediate SQL knowledge
• Foundational knowledge of Dbt
• Experience working with GitHub and CI/CD Data/DevOps processes preferred
• Experience with enterprise visualization software (Power BI, Qlik, Tableau etc)
• Foundational understanding of data modelling and data warehouse concepts
• Ability to work independently, under supervision, and in a creative environment
• Excellent interpersonal & communication skills
• Verbal and written communication skills
• Attention to detail
• Learn on the fly
• Learn from failure