Senior Data Engineer

Are you ready to jump start your career in the exciting and innovative data engineering field?

At SunnyData our mission is to help our customers in their data journey to power their business. We believe a solid foundation is the key to achieving outstanding data driven results: highly scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications. As a Senior Data Engineer, you will play a critical role during this customer journey.

You will directly work with internal teams and customers to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and Business Intelligence insights.

SunnyData is a fast-growing startup that is building out its operations in Nepal. In 2 years since its founding in the United States, SunnyData has already spun up teams in the LATAM region - Uruguay, Argentina and Mexico. This is an excellent opportunity for driven engineers to become a part of the foundational team in Nepal.

The Impact You Will Have

• Be part of a team responsible for supporting new and existing customers in their data engineering needs.
• Guide customers to make the best technical decisions to achieve their goals.
• Actively work across multiple customer accounts which you would need to track and report on their progress.
• Design, build and operationalize complex data solutions, fix issues, apply transformations, and recommend data cleansing / quality solutions.
• Analyze data sources to determine their value and recommend them to include in analytical processes.
• Incorporate core data management competencies including data governance, data security and data quality.
• Collaborate within and across teams to support delivery and educate end users on data products / analytic environments.
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• Test data movement, transformation code, and data components.

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)
• 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 English verbal and written communication skills.
• Availability to overlap with US hours [up to 50%]
• Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.
• Excellent time management and prioritization skills.
• Nice to have: knowledge of public cloud platforms AWS, Azure or GCP.
• Nice to have: Databricks data engineering or machine learning certification.

Education:

• Bachelor’s Degree in Computer Science or Engineering related field.