Data & Backend Engineer

3 - 7 years

0 Lacs

Posted:4 months ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Our client is seeking a Data and Backend Engineer who is enthusiastic about constructing scalable, data-oriented products and excels in a fast-paced, high-ownership setting. If you find satisfaction in navigating through the modern data stack, from data ingestion to delivery, writing efficient code, and collaborating to resolve real-world business challenges, this position is tailored for you. As a Data and Backend Engineer, you will be responsible for owning and enhancing the entire lifecycle of our data pipelines starting from ingestion, moving through transformation, and culminating in delivery. Your role will involve designing, implementing, and scaling resilient data infrastructure within a contemporary cloud environment. You will be expected to produce high-quality, production-grade code utilizing Python or similar scripting languages. Additionally, you will actively engage in technical architecture reviews, ensuring thoughtful trade-offs are made. Collaborating closely with product and engineering teams to devise data-driven solutions will be a key aspect of your responsibilities. An added bonus would be your ability to construct and maintain web scraping systems to cater to custom data requirements. To qualify for this role, you should possess a minimum of 3 years of practical experience in data-intensive product development. Proficiency in SQL, especially in query optimization, is essential. You should have expertise in at least one scripting language like Python or Go. Prior experience working with cloud platforms such as AWS, GCP, or Azure is preferred. A proven track record of constructing and managing data pipelines end-to-end is highly valued. Familiarity with scraping frameworks and tools will be an advantage. We are looking for a self-motivated individual with a proactive, ownership-driven mindset. Strong communication skills and the ability to collaborate across various functions are crucial. A comfort level operating in a high-growth, rapidly evolving startup environment is necessary.,

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