Get It Recruit - Information Technology ยท 2 days ago
Senior Data Engineer
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Human Resources Services
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Responsibilities
Data Architecture and Integration: Design and implement scalable, high-performance data pipelines and infrastructure to integrate diverse data sources.
ETL Processes: Build efficient ETL processes using various methods to facilitate seamless data movement between systems.
Data Quality and Security: Implement and enforce data quality standards and security measures to ensure accuracy, reliability, and compliance with international data privacy regulations.
Data Modeling: Design data models that transform complex organizational data into easily accessible structures for operational, analytics, and reporting needs.
Data Transformation and Optimization: Utilize DBT or Snowflake native capabilities to transform and optimize data for accuracy, efficiency, and up-to-date insights.
Collaboration and Documentation: Collaborate with cross-functional teams to understand data requirements and maintain comprehensive documentation of data engineering processes and workflows.
Leadership and Mentorship: Provide technical leadership and mentorship to junior team members, fostering a collaborative environment dedicated to excellence in handling educational data.
Visualization with Tableau: Utilize Tableau to deliver impactful data insights through meaningful visualizations.
Qualification
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Required
Bachelor's or Master's Degree in Computer Science, Information Technology, or a related field with a strong emphasis on data-related technologies.
5+ years of significant experience in data engineering roles, focusing on scalable data solutions.
Proficiency in Python, Java, or Scala.
Experience with SQL and NoSQL databases, particularly proficiency in Snowflake.
Experience with Azure (preferred), AWS, or Google Cloud Platform, leveraging cloud-based solutions.
Familiarity with Machine Learning concepts and a desire to expand expertise in this area.
Knowledge of Git or Azure DevOps for managing codebase versioning.
Strong analytical and problem-solving abilities for addressing complex data engineering challenges in educational data contexts.
Excellent communication skills to collaborate effectively with cross-functional teams and non-technical stakeholders.
Ability to adapt to evolving technologies and industry best practices in data engineering.
Preferred
Experience with TIBCO EBX.
Familiarity with low-code ETL tools like Boomi.
Exposure to Azure for Data Engineering tasks such as function apps and other Azure functionalities for building data pipelines.
Company
Get It Recruit - Information Technology
Get.It Recruit | Information Technology - Helping companies of all sizes accelerate their hiring.
Funding
Current Stage
Early StageCompany data provided by crunchbase