About The Position
At SunnyData, our mission is to help customers build a highly scalable architecture, robust data engineering pipelines, easy data consumption layers and more importantly build ML and AI applications to power their business and drive outstanding business outcomes. 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.
Requirements
- 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), Databricks platform - data engineering and/or ML ops experience would be a huge bonus, 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.
- Proven problem solving skills including debugging skills.
- Strong verbal and written communication skills.
- Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.
- Excellent time management and prioritization skills.
- Knowledge of public cloud platforms AWS, Azure, or GCP would be a plus.
- Domain Knowledge: Background working in the Financial Services industry, preferably in a banking environment.
- Regulatory Compliance: Understand industry compliance requirements and standards, specifically in banking IT landscapes.
Nice To Haves
- Databricks Certification
Responsibilities
- Supporting new and existing customers in their data engineering needs.
- Guiding customers to make the best technical decisions to achieve their goals.
- Actively working across multiple customer accounts which you would need to track and report on their progress.
- Designing, building, and operationalizing complex data solutions, correcting problems, applying transformations, and recommending data cleansing / quality solutions.
- Analyzing sources to determine value and recommending data to include in analytical processes.
- Incorporating core data management competencies including data governance, data security and data quality.
- Collaborating within and across teams to support delivery and educate end users on data products / analytic environments.
- Performing data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correcting as appropriate.
- Testing data movement, transformation code, and data components.
Benefits
- Opportunities for professional development and career advancement.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
