Senior Data Engineer

The role

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

What you will do

• Support new and existing customers in their data engineering needs.
• Guide customers to make technical decisions to achieve goals.
• Work across multiple customer accounts and track progress.
• Design, build and operationalize complex data solutions.
• Fix issues, apply transformations, and recommend data cleansing and quality solutions.
• Analyze data sources to determine value for analytical processes.
• Incorporate data governance, data security and data quality.
• Collaborate across teams to support delivery and educate end users.
• Perform data and system analysis, assessment and resolution for defects and incidents.
• Test data movement, transformation code, and data components.

Required qualifications

• 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 Warehousi
• 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%]
• Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.
• Excellent time management and prioritization skills.
• Bachelor’s Degree in Computer Science or Engineering related field.

Nice to have

• knowledge of public cloud platforms AWS, Azure or GCP
• Databricks data engineering or machine learning certification

Benefits

• Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
• Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
• Career Growth: Opportunities for professional development and career advancement.
• Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

About the company

SunnyData is a fast-growing startup that is building out its operations in Nepal. It was founded in the United States and has teams in the LATAM region.