Specialist Engineer (Data Engineering, Spark)

at  Databricks

REQ ID FEQ225R84

As a Specialist Solutions Engineer (SSE), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through the design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of speciality - whether that be performance tuning, machine learning, industry expertise, or more.
You will be reporting to Senior Manager, Field Engineering (Specialist Team)

DATA ENGINEER SKILLS

• Experience as a Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
• Experience with big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, and OLAP.
• Experience with cloud architecture, systems, and principles.
• Production programming experience in Python, R, Scala or Java.
• Deep expertise in at least one of the following areas:
• Scaling ETL pipelines that are performant and cost-effective.
• Tuning queries on big data.
• Development tools and best practices for data engineers including CI/CD, unit and integration testing, and automation and orchestration
• Building and scaling streaming pipelines
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure)
• Nice to have: Databricks Certification
• Travelling approx. 20-30% of the time

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.

Please refer the Job description for details