
Building Scalable Data Systems
2 days ago
We are seeking a skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data systems.
Responsibilities:- Data Extraction & Analysis
- Work with Google BigQuery / Google SQL to query and manipulate data.
- Develop scripts in Python, Go, or Perl to extract, transform, and update datasets.
- Experience with MapReduce frameworks is an advantage.
- Data Visualization
- Build reports and dashboards using Google Analytics and Google Looker Studio.
- Create effective visualizations to present findings and communicate insights clearly.
- Problem Solving & Pipeline Development
- Identify data engineering requirements and design scalable data pipelines.
- Use data to propose solutions and actionable recommendations.
- Performance Optimization
- Analyze SQL queries and stored procedures to enhance query performance.
- Apply techniques such as Indexing, Partitioning, Parallel Processing, Caching, Efficient Storage Formats (Parquet/ORC), and In-memory Computing.
- Scheduling & Automation
- Schedule and manage workflows using tools like Airflow, Dreampipe, or similar job schedulers.
- Release Engineering
- Support on-demand and scheduled release management processes for data pipelines.
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Leader In Scalable Systems
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