Mid-level Data Engineer

Job not on LinkedIn

🔥 4 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

SunnyData

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• 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.

🎯 Requirements

• Highly motivated individual with a continuous learning mindset. • Strong English verbal and written communication skills. • Familiarity with public cloud platforms AWS, Azure or GCP. • Nice to have: 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) • Nice to have: Databricks data engineering or machine learning certification. • Bachelor’s Degree in Computer Science or Engineering related field.

🏖️ 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.