
Data Engineering Specialist
3 days ago
We are seeking an experienced Data Engineer to join our team. As a key member of the data engineering group, you will be responsible for designing and implementing scalable data pipelines using the Google Cloud stack.
Key Responsibilities:
- Data Extraction & Analysis:
- Develop scripts in Python, Go, or Perl to extract, transform, and update datasets.
- Work with Google BigQuery / Google SQL to query and manipulate data.
- Experience with MapReduce frameworks is an advantage.
- Data Visualization:
- Create effective visualizations to present findings and communicate insights clearly.
- Build reports and dashboards using Google Analytics and Google Looker Studio.
- 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.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field.
- 3+ years of experience in data engineering, cloud computing, and big data analytics.
- Strong expertise in Google Cloud Platform and associated services.
What We Offer:
A competitive salary and benefits package, opportunities for professional growth and development, and a collaborative work environment.
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