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We are looking for a Senior Data Engineer to design, build, and maintain scalable and reliable data infrastructure. This role is critical in ensuring high-quality, accessible data to support analytics, reporting, and business decision-making. You will work closely with Data Scientists, Analysts, IT, and business teams, while also mentoring junior engineers and contributing to the company's data strategy.
Job Responsibility:
Design, build, and maintain data pipelines and centralized data platforms
Integrate and transform data from multiple internal and external sources
Ensure data quality through validation, monitoring, and best practices
Provide clean, ready-to-use data for analytics and modeling needs
Automate data processing and delivery processes
Collaborate with cross-functional teams to align data solutions with business goals
Support data governance, security, and compliance requirements
Mentor junior data engineers and lead technical initiatives
Requirements:
Bachelor's degree in Computer Science, Statistics, Mathematics, or related fields
Minimum 3 years of experience in Data Engineering or Analytics
Strong skills in Python and SQL
Experience with databases and big data tools (e.g. Spark, Hadoop)
Familiar with cloud platforms (AWS, GCP, or Azure)
Good communication skills and ability to mentor junior engineers