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We are looking for a talented Data Engineer to join our team and play a critical role in transforming raw data into actionable insights. As a Data Engineer, you will be responsible for creating and maintaining data pipelines, developing data models, and setting up reporting dashboards to help drive data-informed decision-making across the organization.
Responsibilities
- Design, develop, and maintain data pipelines to collect, process, and organize data from various sources.
- Create, optimize and automate ETL processes to ensure the reliability, accuracy, and timeliness of data.
- Collaborate with cross-functional teams to understand data requirements and design data models to support business needs.
- Develop, implement, and maintain reporting dashboards using visualization tools such as PowerBI, Qlik, Tableau, or others.
- Automate reporting emails to deliver key metrics and insights to stakeholders on a regular basis.
- Write complex SQL queries and scripts to extract, transform, and load data efficiently.
- Perform data quality assessments and implement data cleansing and validation procedures.
- Stay up-to-date with industry best practices and emerging technologies in data engineering and analytics.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field (Master’s degree is a plus).
- Proven experience as a Data Engineer, Data Analyst, or similar role in a fast-paced environment.
- Expert proficiency in SQL and experience with spreadsheet tools.
- Strong knowledge of ETL tools and processes.
- Proficiency in data modeling and database design.
- Familiarity with data visualization tools, such as PowerBI, Qlik, Tableau, or similar.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and data technologies (e.g., Spark) is a plus.
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