About the job
Kickstart your career in the dynamic and innovative field of data engineering with SunnyData!
At SunnyData, we are dedicated to guiding our clients through their data journey to empower their business. We believe that a strong foundation is essential for achieving exceptional data-driven outcomes: from highly scalable architectures and robust data engineering pipelines to seamless data consumption layers and precise machine learning and artificial intelligence applications. As a Data Engineer, you will play a pivotal role in this process, collaborating closely with internal teams and clients to design, implement, and launch data solutions that capture, explore, transform, and leverage data to support AI, ML, and BI insights.
The Impact You Will Have
Join our team in supporting new and existing clients with their data engineering requirements.
Advise clients on the best technical strategies to achieve their objectives.
Manage multiple customer accounts, tracking and reporting on their progress.
Design, build, and operationalize complex data solutions, troubleshoot issues, implement transformations, and suggest data cleansing and quality improvement strategies.
Evaluate data sources to assess their value and recommend their integration into analytical processes.
Apply essential data management skills, including governance, security, and quality assurance.
Collaborate within and across teams to facilitate delivery and educate end users on data products and analytic environments.
Conduct data and system analysis, addressing and resolving moderately complex defects and incidents as necessary.
Test data movement, transformation code, and data components to ensure accuracy.
What We Look For
A highly driven individual with a mindset geared towards continuous learning. Strong time management and prioritization skills.
Excellent verbal and written communication in English.
Availability for either partial (6 hours) or full-time (8 hours) work.
Familiarity with public cloud platforms such as AWS, Azure, or GCP.
Preferred: Experience with one or more technologies in data engineering, such as Spark, Hadoop, or Kafka.
