(15h Left) Data Engineer

4 weeks ago


Delhi, India Performics Full time
Responsibilities:

- Data Pipeline Development: Design, build, and maintain data pipelines for collecting and processing marketing data.- Data Integration: Ensure seamless integration of data from various sources, including marketing platforms and databases.- Data Warehousing: Manage and optimize data warehousing solutions for efficient data storage and retrieval.- ETL (Extract, Transform, Load): Develop ETL processes to cleanse, transform, and load data into data stores.- Database Management: Administer databases, ensuring data integrity and performance.- Streaming Data: Handle real-time data streams for immediate insights and actions.- Data Quality Assurance: Implement data quality checks and validation processes.- Data Architecture: Design scalable and efficient data architectures to support analytics and reporting needs.- Data Governance: Establish data governance policies and procedures to maintain data quality and security.- Cloud Services: Utilize cloud platforms (e.g., GCP, AWS, Azure) for scalable data storage and processing.- Automation: Develop automation scripts and tools for routine data tasks.- Collaboration: Collaborate with data scientists, analysts, and other teams to provide accessible and reliable data.- Performance Optimization: Optimize data infrastructure for speed and cost-effectiveness.- Data Security: Implement security measures to protect sensitive data.- Documentation: Document data processes and workflows for reference and compliance.- Monitoring and Maintenance: Monitor data pipelines and resolve issues promptly to minimize downtime.- Scalability: Plan for future data growth and scalability needs.- Compliance: Ensure data handling adheres to relevant data protection regulations.- Cost Management: Optimize data-related costs and resource usage.

Skills:

- Google BigQuery- SQL, DBMS tools of Google Cloud- AWS and Azure, Cloud Pipelining- Datalake, CDP, Data Warehouse
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