Data Engineer (India)

Data Engineer (India)

01 Oct
|
taskverse
|
India

01 Oct

taskverse

India

About The Company

Kake is a remote-first organization that champions a people-first approach, fostering a global community of senior engineers. With a presence spanning over 45,000 engineers across more than 55 countries, Kake has established itself as a hub for innovation and technical excellence. The company’s engineers have contributed to some of the world’s most renowned products, working with Fortune 500 companies as well as agile startups. At Kake, the focus is on what individuals bring to the table rather than where they are located, promoting a culture of growth, collaboration, and mutual respect. The company values diversity, continuous learning, and the pursuit of excellence, making it an ideal environment for seasoned professionals to thrive.

About The Role

The Senior Data Engineer role at Kake is designed for experienced professionals who excel in data analysis, data science, or data engineering. This position involves transforming raw data into reliable insights and scalable pipelines that support business decision-making processes.



The successful candidate will take ownership of end-to-end data projects, working closely with product and engineering teams to develop data solutions that drive strategic initiatives. This remote position offers flexibility and the opportunity to contribute to a vibrant community of engineers dedicated to innovation and impact. The role requires a proactive approach to designing, building, and maintaining data infrastructure, ensuring data quality, and implementing best practices across projects.

Qualifications

The ideal candidate will possess over five years of experience in data analysis, data science, or data engineering. Strong proficiency in SQL and experience working with relational and NoSQL databases are essential. Hands-on expertise with programming languages such as Python, R, or similar is required, along with a solid background in building and maintaining data pipelines, ETL/ELT processes, or data warehou

📌 Data Engineer (India)
🏢 taskverse
📍 India

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