Mid-level 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

• Strong English verbal and written communication skills.
• Familiarity with public cloud platforms AWS, Azure or GCP.
• Bachelor’s Degree in Computer Science or Engineering related field.

Nice to have

• Experience in Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
• Experience in Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
• Experience in Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
• Databricks data engineering or machine learning certification

Benefits

• Innovative Environment
• Customer Impact
• Career Growth
• Collaborative Culture

About the company

SunnyData's mission is to help customers in their data journey to power their business. They focus on scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications.