Cloud Data Engineer
6 days ago
Nisum Technologies seeks a skilled Cloud Data Engineer to design and develop efficient data pipelines using GCP services.
Main Responsibilities:- Data Ingestion: Design and develop efficient data pipelines using GCP services such as Dataflow, Dataproc, and Data Fusion.
- Data Processing: Extract data from various sources (databases, APIs, cloud storage) using SQL and Python.
- Data Transformation: Transform and clean data using SQL and Python to ensure data quality and consistency.
- Data Loading: Load data into BigQuery for analysis and reporting.
- Data Architecture: Design and implement data warehouse architectures, including data modeling and schema design.
- Performance Optimization: Optimize data warehouse performance and query execution.
- Monitoring and Maintenance: Monitor and maintain data warehouse health.
- Data Analysis: Analyze large datasets using SQL and Python to uncover insights and trends.
- Collaboration: Collaborate with data analysts and business stakeholders to understand their requirements and provide actionable insights.
- Real-time Data Processing: Develop and maintain real-time data processing pipelines using tools like Dataflow and Pub/Sub.
- 5+ years of experience as a Data Engineer.
- Strong proficiency in GCP services, particularly BigQuery, Dataflow, Dataproc, and Data Fusion.
- Expert knowledge of SQL and Python for data manipulation and analysis.
- Solid understanding of data warehousing concepts, ETL processes, and data modeling.
- Experience with real-time data processing and stream processing frameworks.
- Familiarity with cloud-native technologies and best practices.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
$150,000 - $200,000 per year
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