Job Summary:
Data Engineers play a pivotal role in crafting data architectures that drive business growth and innovation.
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Key Responsibilities:
* Data Management: Design and implement scalable data management systems to meet evolving business needs.
* Data Pipeline Development: Develop robust data pipelines to support analytics, business intelligence, and machine learning initiatives.
* Database Administration: Implement and maintain databases and data processing systems to ensure seamless data integration and retention.
* Data Optimization: Optimize data pipelines for efficient and error-free data flow across the organization.
* Cross-Functional Collaboration: Collaborate with cross-functional teams to understand data requirements and implement tailored solutions.
* Data Monitoring and Resolution: Monitor data processing and storage system performance, resolving failures and ensuring data accuracy and security.
* Data Governance and Security: Implement data governance and security best practices to ensure data integrity and compliance.
* Technological Stewardship: Stay updated with emerging trends and technologies in data engineering.
Required Skills and Qualifications:
* Experience: 5+ years of data engineering experience with large-scale data solutions.
* Foundational Knowledge: Strong foundation in data structures, algorithms, and software engineering principles.
* SQL Proficiency: Demonstrated skills in SQL query writing.
* Tech Familiarity: Familiarity with R or Python, Tableau, Microstrategy, Redshift, or Snowflake.
* Data Modeling: Knowledgeable about data modeling, ETL development, and data warehousing principles.
* Databases: Familiarity with SQL and NoSQL databases.
* Analytical and Communication Skills: Solid analytical skills and excellent communication and collaboration skills.