Job Details

Responsibilities
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Develop, maintain, and optimize data pipelines to extract, transform, and load large datasets from diverse sources into our data ecosystem
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Design and implement efficient and scalable data models that align with business requirements, ensuring data integrity and performance
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Collaborate with cross-functional teams to understand data needs and deliver solutions that meet those requirements
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Work closely with data scientists, analysts, and software engineers to ensure seamless integration of data solutions into larger systems
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Identify and resolve data quality issues, ensuring accuracy, reliability, and consistency of the data infrastructure
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Continuously monitor and improve data pipelines and processes, identifying opportunities for automation and optimization

Qualifications
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Bachelor's or Master's degree in Computer Science, Engineering, or a related field
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5+years of hands-on experience as a Data Engineer, working on complex data projects and implementing data modeling solutions
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Solid understanding of SQL and expertise in working with relational databases (e.g., PostgreSQL, MySQL)
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In-depth knowledge of data modeling techniques and experience with data modeling tools
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Working knowledge on Data warehousing
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Familiarity with cloud-based data platforms and services (e.g., Snowflake, AWS, Google Cloud, Azure)
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Experience with version control systems (e.g., Git) and agile software development methodologies
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Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders
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Primary Skillset: Data Engineering