
Data Engineering Specialist
2 weeks ago
Our organization is committed to empowering decision-making, driving product insights, and enabling business growth through data-driven solutions. We're building a talented team of Data Engineers who can design, develop, and maintain efficient data pipelines.
We're looking for a skilled professional who thrives in a fast-paced environment, enjoys problem-solving, and wants to make a direct impact on our internal systems and client-facing products.
About the Role:
- Design and build efficient data pipelines that meet the needs of our stakeholders.
- Collaborate with cross-functional teams to ensure data quality, reliability, and accessibility for analytics, reporting, and product innovation.
Key Responsibilities:
- Develop and maintain data pipelines (ETL/ELT) to move data from multiple sources into data stores/warehouses.
- Optimize data storage solutions to improve performance and reduce costs.
- Ensure data quality, validation, and governance across all pipelines.
- Implement automation, monitoring, and alerting for data workflows.
Requirements:
- 3–5 years of experience in data engineering / backend development.
- Proficiency in SQL and Python programming languages.
- Hands-on experience with ETL frameworks such as Apache Beam or AWS Glue.
- Good understanding of data warehousing concepts, schema design, and optimization techniques.
Nice-to-Haves:
- Experience working in an agile development environment.
- Familiarity with business intelligence tools such as Tableau or Power BI.
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