Data Engineer
Description For Data Engineer
Prophecy, a rapidly growing startup, is seeking a Data Engineer to join their team in Bengaluru. This role offers an exciting opportunity to be part of a high-growth company revolutionizing data engineering. As a Data Engineer, you'll troubleshoot complex customer issues, assist with third-party integrations, and provide best practices guidance for the Prophecy IDE.
The ideal candidate has 6+ years of experience in B2B enterprise applications, strong skills in Spark, SQL, and cloud technologies, and a passion for problem-solving. You'll work with cutting-edge technologies like Databricks, Snowflake, and Kubernetes, while developing and maintaining advanced knowledge of Prophecy IDE architecture.
Prophecy offers a great culture, equity awards, medical insurance, and flexible time off. You'll have the chance to manage your own growth, experience building a transformative product, and take end-to-end ownership of your projects. If you're an entrepreneurial spirit with a strong desire to work in a fast-paced startup environment, this could be the perfect opportunity for you to make a significant impact in the field of data engineering.
Responsibilities For Data Engineer
- Troubleshoot and resolve complex customer issues related to the Prophecy IDE
- Assist with issues around third-party integrations with the Prophecy environment
- Reproduce customer bugs in production and sandbox environments
- Set clear expectations with customers on the next steps
- Provide best practices guidance and support for solutions developed by customers using Prophecy IDE
- Deliver proactive suggestions for improving performance and efficiency in customer-specific environments
- Coordinate with engineering to achieve timely resolution of customer issues and requests
- Participate in the creation and maintenance of company documentation and knowledge articles
- Be a true proponent of customer advocacy
- Coach other team members as needed
- Develop and maintain advanced knowledge of Prophecy IDE architecture and administration
- Support customers and other customer support team members via chat, email and video conference
Requirements For Data Engineer
- 6+ years of experience troubleshooting and supporting B2B large enterprise applications
- Strong work experience in production issue resolution
- Experience in building, managing, and maintaining all aspects of ETL
- Expert in Spark architecture and experience with Databricks/Snowflake environment configuration and management
- Experience with Git and CI/CD technologies
- Technology experience in SQL, Databricks/ Hadoop/ Spark
- Experience with Snowflake, BigQuery, Azure, Hadoop, CDP
- Advanced skills in at least one of: Spark, SQL, Airflow, Kubernetes
- Experience in 'hands-on' technical support and escalation
- Excellent verbal and written communication skills in English
- Ability to break down complex technical concepts
- Creative attitude toward problem-solving
- Entrepreneurial spirit
- Strong desire to work in a fast-moving startup environment
- B Tech or above degree in CS or equivalent
Benefits For Data Engineer
- Great culture
- Equity awards for everyone
- Amazing work
- Medical insurance
- Employee's Provident Fund
- Flexible time off
- Manage your own growth and career
- Experience building a transformative product
- High learning opportunity
- End-to-end ownership of your projects
