Data Engineer
AgileGrid Solutions · India
- Hybrid
- Full-time
- $150,000 / year
- India
Job highlights
- Remote-first Data Engineer role.
- Build modern data pipelines and marts.
- Work with Airflow, Snowflake, Looker.
- Develop AI-ready semantic layers.
- Focus on business outcomes and impact.
About the role
About Kake
Kake is a forward-thinking, remote-first organization dedicated to providing top-tier engineering talent to some of the world's most innovative companies. With a strong emphasis on fostering a collaborative and inclusive culture, Kake believes that talent and expertise matter more than location. Our mission is to connect skilled professionals with impactful projects, empowering them to grow and thrive in their careers. We are committed to creating an environment where employees are valued, supported, and encouraged to pursue their passions, both professionally and personally. At Kake, we prioritize social good, personal development, and a culture of excellence, making us a preferred destination for ambitious data professionals seeking meaningful work and growth opportunities.
About The Role
We are building a dedicated talent pool for Data Engineers, focusing on professionals with a strong foundation in data modeling, schema design, and SQL expertise. This pipeline role is designed for engineers eager to work on a modern data stack, including tools such as Airflow, Snowflake, and data visualization platforms like Looker, Superset, or HEX. Your primary responsibility will be to transform raw production data into analytics-ready formats, create organized data marts tailored to various business needs, and develop semantic layers optimized for AI and large language model querying. This role offers the opportunity to work on cutting-edge data projects, supporting analytics, decision-making, and product insights across diverse industries. You will collaborate with cross-functional teams to ensure data integrity, build scalable data workflows, and contribute to innovative AI-driven solutions, making a tangible impact on business outcomes.
Qualifications
The ideal candidate will possess expertise in SQL and data modeling, demonstrating a solid understanding of schema design and data transformation techniques. Proficiency with modern data tools such as Airflow, Snowflake, and visualization platforms like Looker, Superset, or HEX is essential. Strong Python skills are required for building data workflows, automations, and transformations. Bonus points are awarded for experience with large language model prompt engineering, retrieval-augmented generation (RAG), or related AI tools. Candidates should exhibit problem-solving skills with a strong sense of ownership, excellent communication abilities—both written and verbal—and a business-minded approach focused on outcomes, value, and impact. A background in consumer tech or SaaS environments is considered advantageous, along with the ability to thrive in fast-paced, ambiguous settings.
Responsibilities
- Transform raw production data into analytics-ready formats, ensuring data quality and consistency.
- Create and maintain data marts organized by business use cases and data origin to facilitate efficient analytics and reporting.
- Develop AI-ready semantic layers to enable large language models (LLMs) for querying and insights generation.
- Design and implement scalable data pipelines using Airflow and Snowflake, automating workflows for continuous data integration.
- Collaborate with data analysts, data scientists, and product teams to understand data needs and deliver solutions that support analytics and decision-making.
- Optimize data models for performance, reliability, and scalability across the data stack.
- Stay updated with emerging AI and data engineering trends, integrating innovative tools and techniques into existing workflows.
- Contribute to documentation, best practices, and knowledge sharing within the team to promote data literacy and operational excellence.
Benefits
Joining Kake offers a range of compelling benefits designed to support your professional growth and personal well-being. As a remote-first company, we provide flexibility and trust, allowing you to work from anywhere in the world. We offer competitive pay in USD, ensuring global compensation that reflects your skills and contributions. Our Better Me Fund demonstrates our commitment to your development, investing in your personal passions and growth initiatives. We foster a community that values social good and compassion, encouraging employees to participate in initiatives that make a positive impact. Additionally, you will have access to a collaborative environment that promotes innovation, continuous learning, and career advancement, alongside comprehensive support for your work-life balance and overall health.
Equal Opportunity
Kake is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, religion, or any other protected characteristic. We believe that diverse perspectives and backgrounds enrich our community and drive innovation. All qualified candidates are encouraged to apply, and we are dedicated to providing a supportive environment where everyone can succeed and grow.
Key skills/competency
- Data Engineering
- SQL
- Data Modeling
- Schema Design
- Data Transformation
- Python
- Airflow
- Snowflake
- Data Visualization
- AI/LLM
Skills & topics
- Data Engineer
- SQL
- Data Modeling
- Schema Design
- Data Transformation
- Python
- Airflow
- Snowflake
- Data Visualization
- LLM
- AI
- Remote
How to get hired
- Tailor your resume: Highlight your SQL, data modeling, and Python skills, along with experience in Airflow and Snowflake.
- Showcase AI/LLM experience: Emphasize any work with prompt engineering or RAG if applicable.
- Demonstrate business acumen: Articulate how your technical contributions drive business value and impact.
- Prepare for technical interviews: Be ready to discuss data modeling, schema design, and SQL challenges.
- Highlight remote work skills: Showcase your ability to collaborate effectively in a remote, asynchronous environment.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Data Engineer role at Kake?
- The Data Engineer role at Kake requires strong expertise in SQL and data modeling, including schema design and data transformation. Proficiency with modern data tools such as Airflow, Snowflake, and visualization platforms like Looker, Superset, or HEX is essential. Strong Python skills are also a must for building data workflows and automations.
- Does Kake offer remote work opportunities for Data Engineers?
- Yes, Kake is a remote-first organization, meaning this Data Engineer position allows you to work from anywhere in the world. They prioritize talent and expertise over location, offering flexibility and trust to their employees.
- What is the compensation like for a Data Engineer at Kake?
- Kake offers competitive pay in USD, ensuring global compensation that reflects your skills and contributions. While specific salary figures are not provided here, they aim for compensation that is globally competitive.
- Are there opportunities for professional development at Kake for a Data Engineer?
- Absolutely. Kake's 'Better Me Fund' is dedicated to investing in your personal passions and growth initiatives. They foster a collaborative environment that promotes continuous learning and career advancement for all their employees.
- What makes Kake a good company for a Data Engineer to work for?
- Kake focuses on connecting skilled professionals with impactful projects, fostering a collaborative and inclusive culture. They prioritize social good, personal development, and a culture of excellence, making it a great place for Data Engineers seeking meaningful work and growth.
- What are the 'bonus points' for the Data Engineer role at Kake?
- Bonus points are awarded for experience with large language model prompt engineering, retrieval-augmented generation (RAG), or related AI tools. This indicates a strong interest and potential for working with cutting-edge AI applications.
- How does Kake ensure a good work-life balance for its remote employees?
- Kake provides flexibility and trust as a remote-first company, allowing you to work from anywhere. They also offer comprehensive support for your work-life balance and overall health, alongside a culture that values personal well-being.