About The Company Kake is a remote-first organization that champions a people-centric approach within a global community of senior engineers. With a diverse network comprising over 45,000 engineers across more than 55 countries, Kake has established itself as a hub of innovation and collaboration.

The company has contributed to some of the world’s most renowned products, working with Fortune 500 companies and emerging startups alike. At Kake, the emphasis is placed on what individuals bring to the table rather than where they are located. The culture fosters growth, retention, and excellence, all while celebrating community, shared knowledge, and a passion for continuous learning and development.

About The Role We are seeking a highly skilled Senior Data Engineer to join our dynamic team remotely. This role is ideal for professionals with extensive experience in data analysis, data science, or data engineering who enjoy transforming raw data into actionable insights.

The successful candidate will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure that support analytics, reporting, and machine learning initiatives. Collaborating closely with product managers, data scientists, and engineering teams, you will play a key role in driving data-driven decision-making across the organization.

Qualifications The ideal candidate will possess a minimum of 5 years of experience in data analysis, data science, or data engineering. You should have a strong command of SQL and be experienced working with relational and NoSQL databases. Hands-on proficiency with programming languages such as Python, R, or similar is essential.

Experience in building and maintaining ETL/ELT processes, data pipelines, and data warehouses is required. Familiarity with data visualization tools like Tableau, Power BI, or Looker will be advantageous. Excellent communication skills in English, both written and verbal, are necessary to translate complex business questions into effective data solutions.



The ability to work independently in a fast-paced remote environment is crucial.

Responsibilities

- Design, develop, and maintain robust data pipelines and workflows that support analytics, reporting, and modeling needs.
- Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.
- Build, validate, and optimize statistical or machine learning models to address specific business challenges.
- Ensure data quality, consistency, and integrity across various sources and pipelines.
- Design and maintain scalable data models, schemas, and data warehouses to facilitate efficient analytics.
- Collaborate with stakeholders to understand business requirements and translate them into effective data solutions and reports.
- Contribute to the development and enforcement of data best practices and continuous improvement initiatives.
- Participate in requirement reviews, helping to identify potential data risks early in the development process.

Benefits Joining Kake offers numerous advantages, including competitive compensation paid in USD, enabling global earnings and financial flexibility. The company operates fully remotely, trusting employees to manage their work-life balance effectively. Kake invests in personal growth through its Better Me Fund, supporting your passions and career development. Additionally, the organization fosters a compassionate community that emphasizes social good, making your work meaningful and impactful. These benefits collectively create a supportive environment where talented professionals can thrive and make a difference.

Equal Opportunity

Kake is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all applicants and employees regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status. We believe that diversity enhances our community and drives innovation, and we welcome candidates from all backgrounds to apply and contribute to our mission.

📌 Data Engineer (India)
🏢 taskverse
📍 India