Top 20 C2C Requirement || Senior Data Engineer || C2C || Plano, TX || Quick Apply

Data Engineers play a critical role in managing and optimizing the data architecture of an organization. Here are the top 10 job responsibilities associated with the role of a Data Engineer:

1. Data Pipeline Development:
   • Design, develop, and maintain data pipelines to efficiently move and transform data from source systems to destination databases or data warehouses.
2. Data Modeling:
   • Create and implement data models that define the structure, relationships, and constraints of the data to ensure efficient storage and retrieval.
3. ETL (Extract, Transform, Load) Processes:
   • Build ETL processes to extract data from various sources, transform it to meet business requirements, and load it into target systems.
4. Data Warehousing:
   • Design and manage data warehouses to store and organize large volumes of structured and unstructured data for analytical purposes.
5. Data Integration:
   • Integrate data from different sources and systems to provide a unified view, enabling better decision-making across the organization.
6. Data Quality Management:
   • Implement processes and measures to ensure the quality and integrity of data, including data profiling, cleansing, and validation.
7. Performance Optimization:
   • Optimize database and query performance to ensure efficient data retrieval and processing.

1. Metadata Management:
   • Establish and maintain metadata repositories, documenting data definitions, lineage, and usage to enhance data governance.
2. Collaboration with Data Scientists and Analysts:
   • Collaborate with data scientists and analysts to understand data requirements and provide the necessary infrastructure and support for analytics and reporting.
3. Data Security and Compliance:
   • Implement security measures to protect sensitive data, including access controls, encryption, and compliance with data privacy regulations.
4. Scalability and Reliability:
   • Design data systems that can scale with growing data volumes and ensure high availability and reliability.
5. Version Control and Documentation:
   • Implement version control for data engineering code and maintain comprehensive documentation for data processes and workflows.

Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, reliable, and aligned with business needs. They play a crucial role in the overall data management strategy of an organization, supporting data-driven decision-making and business intelligence initiatives.