Top 20 Corp to corp Requirement for Lead GCP Data Engineer in Charlotte, NC 3 days hybrid on Contract Quick Apply

The responsibilities of a Data Engineer revolve around designing, developing, and managing data architecture and infrastructure to facilitate the storage, processing, and analysis of data. Here are the top 10 job responsibilities of a Data Engineer:

1. Data Architecture Design:
   • Design and implement scalable and efficient data architectures, including databases, data warehouses, and data lakes, based on business requirements.
2. ETL Development:
   • Develop and maintain Extract, Transform, Load (ETL) processes to efficiently extract data from various sources, transform it, and load it into the target data storage systems.
3. Database Management:
   • Manage and optimize databases for performance, security, and data integrity, utilizing both relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases.
4. Data Integration:
   • Integrate data from disparate sources, ensuring consistency and accuracy in the centralized data repository.
5. Big Data Technologies:
   • Utilize big data technologies such as Hadoop, Apache Spark, and Apache Kafka to process and analyze large datasets efficiently.
6. Streaming Data Processing:
   • Implement real-time data processing solutions for streaming data sources, enabling timely insights and analytics.
7. Data Quality Assurance:
   • Implement and enforce data quality standards, including data profiling, cleansing, and validation, to ensure accurate and reliable data.
8. Collaboration with Data Scientists and Analysts:
   • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and provide the necessary infrastructure for analytics and reporting.

1. Security Implementation:
   • Implement security measures to protect sensitive data, including access controls, encryption, and compliance with data privacy regulations.
2. Metadata Management:
   • Establish and maintain metadata repositories, documenting data definitions, lineage, and usage for effective data governance.
3. Performance Optimization:
   • Optimize data processing and query performance to ensure efficient and timely access to data for analytics and reporting.
4. Cloud Platform Utilization:
   • Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to deploy and manage data infrastructure and services.

Data Engineers play a vital role in ensuring the availability, quality, and accessibility of data for various data-driven initiatives within an organization. Their responsibilities cover the entire data lifecycle, from data ingestion to storage, processing, and analysis.