Data Integration Engineer

3 weeks ago

Bengaluru, Karnataka, India CUBE CONSULTANCY SERVICES Full time

Industry : Hospitality / SaaS / Machine Learning

Role Overview :

We are seeking a motivated Data Integration Engineer to join our engineering team in India. This individual will play a critical role in integrating and transforming large-scale data to power intelligent decision-making systems.

Key Responsibilities :

- Design, build, and maintain data pipelines and APIs using Python.

- Integrate data from various sources including third-party APIs and internal systems.

- Work with large, unstructured datasets and transform them into usable formats.

- Collaborate with cross-functional teams to define data requirements and deliver timely solutions.

- Leverage cloud-based services, especially AWS (EC2, S3), Snowflakes / Databricks to scale data infrastructure.

- Ensure high performance and responsiveness of applications.

- Write clean, maintainable code with a focus on craftsmanship.

Required Skills & Experience :

- Strong proficiency in Python and data libraries like Pandas.

- Experience with web frameworks like Django / FastAPI / Flask.

- Hands-on experience with MongoDB or other NoSQL databases.

- Proficiency in working with RESTful APIs and JSON.

- Familiarity with AWS services: EC2, S3, Snowflakes / Databricks.

- Solid understanding of data mining, data exploration, and troubleshooting data issues.

- Real-world experience with large-scale data systems in cloud environments.

- Ability to thrive in a fast-paced, high-growth, deadline-driven setting.

- Self-starter with a strong sense of ownership and a passion for problem-solving.

- Comfortable working with messy or unstructured data.

Preferred Qualifications :

- Bachelor's or Masters degree in Computer Science.

- Exposure to Big Data and Machine Learning technologies is a plus.

Why Join Us ?

- Competitive salary and performance bonuses.

- Remote-friendly work culture.

- Opportunity to work on cutting-edge tech in AI and ML.

- Collaborative, high-growth startup environment.

(ref:hirist.tech)

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