
Data Specialist
1 week ago
We seek a skilled professional to join our team of innovators in the field of data engineering.
Job OverviewThe ideal candidate will possess strong expertise in cloud-based technologies and a solid understanding of scalable data pipelines.
Key Responsibilities- Data Extraction & Analysis:
- Utilize query languages like SQL to extract, transform, and update datasets.
- Develop scripts in Python, Go, or Perl to enhance data manipulation and analysis.
- Familiarity with distributed computing frameworks is an advantage.
- Data Visualization:
- Create reports and dashboards using analytics tools like Google Looker Studio.
- Design effective visualizations to present findings and communicate insights clearly.
- Problem Solving & Pipeline Development:
- Identify data engineering requirements and design scalable data pipelines.
- Analyze data to propose solutions and actionable recommendations.
- Performance Optimization:
- Analyze queries to enhance execution performance.
- Apply techniques such as indexing, partitioning, parallel processing, caching, and efficient storage formats.
- Scheduling & Automation:
- Manage workflows using scheduling tools like Airflow or similar job schedulers.
- Release Engineering:
- Support on-demand release management processes for data pipelines.
Benefits: We offer a dynamic work environment and opportunities for growth and development.
Requirements: A passion for data engineering and a commitment to innovation are essential.
About Us: We're a company that values teamwork and collaboration. If you're interested in joining our team, please apply.
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