Sr. Big Data Engineer
Role summary
The Sr. Big Data Engineer will join the Professional Services team, focusing on customer engagements using the Databricks Platform. This role involves addressing client big data challenges through data engineering, data science, and cloud technology projects, including system integration and customer training. Responsibilities include guiding customers through transformational big data projects, consulting on architecture and design, and contributing product feedback. The ideal candidate possesses 8+ years of experience with Big Data technologies like Apache Spark and Kafka, 6+ years in Big Data Architectures, and strong experience within the Databricks ecosystem, with proficiency in Python or Scala and experience across major cloud platforms (GCP, AWS, Azure). Travel within India for onsite engagements is expected.
CSQ227R36
As a Sr. Big Data Engineer in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks Platform. You will provide data engineering, data science, and cloud technology projects that require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data. You will report to the Manager, Professional Services.
The impact you will have:
What we look for:
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Sample Databricks interview questions
- 1
Design a distributed file system
system designmedium - 2
Design a document processing pipeline
system designmedium - 3
Design a database schema for a fitness app
system designmedium - 4
Design a web crawler.
system designmedium - 5
Design an algorithm and perform data manipulation (choose your language).
codingaverage
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