SunnyData Senior Data Engineer designing, building, and operationalizing complex data solutions to support AI, ML, and business intelligence. Collaborates with internal teams and customers to deliver scalable data engineering pipelines.
Responsibilities
What We Look For
5+ years of related experience in data engineering and data product development.
Experience in one or more of the following:
Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
Databricks platform - data engineering and/or ML ops experience would be a huge bonus
Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
Solid understanding of the end to end data analytics workflow
Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on
Proven problem solving skills including debugging skills
Strong verbal and written communication skills
Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities
Qualification
Required
5+ years of related experience in data engineering and data product development
Experience with Data Engineering technologies such as Spark, Hadoop, Kafka
Experience with Databricks platform (data engineering and/or ML ops preferred)
Experience with Data Science and Machine Learning technologies such as pandas, scikit-learn, HPO
Experience with Data Warehousing including SQL, OLTP/OLAP/DSS
Solid understanding of end to end data analytics workflow
Proven problem solving and debugging skills
Bachelor’s Degree in STEM related field or equivalent
Preferred
Bachelor’s Degree in STEM related field or equivalent
