Role & responsibilities
You will develop, build, test and maintain the databases and large-scale data processing systems that store, retrieve and analyse our data efficiently. You will work closely with data scientists, data analysts and other stakeholders to understand their data needs and turn them into reliable solutions.
- Develop, construct, test and maintain architectures such as databases and large-scale processing systems
- Design, build and maintain data pipelines using Python, PySpark, Airflow, Snowflake, MongoDB and Databricks
- Build and maintain web scraping pipelines using Scrapy and Playwright/Selenium, including handling anti-bot measures, scheduling and data cleaning
- Design ETL/ELT workflows and data warehouse models, using dbt where suitable
- Design and optimise database schemas, queries and storage for performance, reliability and cost
- Add data quality checks, validation, monitoring and alerting to our pipelines
- Implement data security, privacy and access control measures
- Work with stakeholders to understand data requirements and deliver solutions that meet them
- Collaborate with data scientists and analysts to support their analytical and machine learning needs
- Prepare data for AI features, including LLM and RAG use cases
- Develop and maintain clear technical documentation
Preferred candidate profile
- Bachelor's or Master's degree in Computer Science, Information Technology or a related field
- 25 years of experience as a Data Engineer or in a similar role
- Strong programming skills in Python and strong SQL
- Hands-on experience with PySpark, Airflow, Snowflake, MongoDB and Databricks
- Proven experience in web scraping (Scrapy)
- Experience designing, developing and maintaining data pipelines
- Strong knowledge of database design, data warehousing and ETL processes
- Familiarity with Git and version control
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Able to work independently and in a team
Perks and benefits
- Work on a real AI product in the PropTech space
- Collaborate directly with data science and product teams
- Learning and growth opportunities.
- Good office environment in Kochi .