30 Sep
|
taskverse
|
India
About The Company Kake is a remote-first organization committed to fostering a people-first global community of senior engineers. With a focus on innovation and collaboration, Kake engineers have contributed to some of the world’s most influential products, spanning from Fortune 500 companies to rapidly growing startups.
The company’s culture emphasizes the value of what each individual brings to the table, regardless of location. Its community boasts over 45,000 engineers across more than 55 countries, creating an environment where talent can thrive, grow, and develop meaningful connections. Kake believes in empowering its members through continuous learning, shared success, and a supportive community that celebrates diversity and inclusion.
About The Role The Senior Data Engineer role at Kake offers an exciting opportunity for experienced professionals to lead data-driven initiatives in a dynamic, remote environment. This position involves designing, developing, and maintaining scalable data pipelines and infrastructure that support analytics, reporting, and advanced modeling efforts.
The ideal candidate will have a strong background in data analysis, data science, or data engineering, with the ability to turn raw data into actionable insights. You will work closely with cross-functional teams, including product managers, data scientists, and engineers, to translate business needs into effective data solutions. This role also entails ensuring data quality and integrity, building robust data models, and contributing to the continuous improvement of data practices across the organization.
Qualifications The successful candidate will possess a minimum of five years of experience in data analysis, data science, or data engineering.
Proficiency in SQL and hands-on experience working with relational and NoSQL databases are essential.
Strong programming skills in languages such as Python, R, or similar are required, along with experience in building and maintaining data pipelines, ETL/ELT processes, and data warehouses. Familiarity with data visualization tools like Tableau, Power BI, or Looker is highly desirable. Candidates should demonstrate the ability to interpret complex business questions and translate them into clear, data-driven insights.
Excellent communication skills in English, both written and verbal, are necessary to collaborate effectively in a remote setting. The role demands the ability to work independently in a fast-paced environment and manage multiple priorities efficiently.
Responsibilities
- Design, develop, and maintain reliable data pipelines and workflows that support analytics, reporting, and machine learning models.
- Analyze large datasets to identify trends, patterns, and actionable insights that inform business 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 through rigorous validation and monitoring.
- Design and maintain scalable data models, schemas,
and data warehouses to facilitate productive analytics and reporting.
- Collaborate with stakeholders to understand business requirements and translate them into effective data solutions and reports.
- Contribute to the development and implementation of data best practices, standards, and continuous improvement initiatives.
- Participate in requirement reviews, identify potential data risks early, and work proactively to mitigate them.
Benefits Kake offers a comprehensive benefits package designed to support the well-being and growth of its employees. As a fully remote organization, it provides flexibility to work from anywhere, fostering a healthy work-life balance. The company offers competitive compensation paid in USD, ensuring global pay parity. Employees benefit from the Better Me Fund, which invests in personal development, skills enhancement, and passions outside of work. Additionally, Kake promotes a culture of social good, encouraging participation in community initiatives and social impact projects. The organization values its people, providing opportunities for continuous learning, mentorship, and career advancement in a supportive environment.
Equal Opportunity
Kake is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
We believe that diverse teams drive innovation and are essential to our success, and we welcome applicants from all backgrounds to join our community.
📌 Data Engineer (India)
🏢 taskverse
📍 India