Data Engineer
20 hours ago
We are looking for a skilled Data Engineer with a strong analytical mindset and hands-on experience in managing and optimizing data systems. The ideal candidate should be well-versed in data analysis, operations, and automation, with a keen eye for identifying data trends and ensuring seamless data flow across platforms.
Key Responsibilities:
- Design, build, and maintain scalable data pipelines and architectures.
- Perform data analysis to support decision-making and business insights.
- Manage and monitor data operations, ensuring data integrity, quality, and availability.
- Perform data scraping from various sources (APIs, web, and databases) to collect and process large datasets.
- Collaborate with cross-functional teams (Data Analysts, Developers, Product Managers) to meet project goals and ensure data-driven solutions.
- Identify, analyze, and interpret data trends or patterns to drive business strategy.
- Manage data lakes and implement effective data management (data magnet) strategies for efficient storage and retrieval.
- Optimize ETL processes and support automation of data workflows.
Required Skills & Qualifications:
- Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
- 2+ years of professional experience as a Data Engineer or in a similar data-focused role.
- Proficiency in SQL, Python, and data manipulation libraries (Pandas, NumPy, etc.).
- Experience with ETL tools and frameworks.
- Knowledge of data lakes, data warehouses, and cloud platforms (AWS, Azure, or GCP).
- Experience with data scraping tools (e.g., BeautifulSoup, Scrapy, or API integrations).
- Strong understanding of data pipelines, operations, and workflow automation.
- Excellent collaboration and communication skills.
- Strong analytical and problem-solving abilities with attention to detail.
Job Type: Full-time
Work Location: In person
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