4 - 9 years
Posted:20 hours ago
Designing and building Snowflake and Cortex-based data solutions that support client data modernization efforts
- Developing data pipelines, integration flows, and transformation logic to move data across cloud environments- Applying data quality controls, validation checks, and governance procedures across curated datasets- Analyzing complex data engineering issues and translating findings into practical recommendations for client teams- Using Azure Data Factory, Apache Airflow, and Databricks to automate orchestration and data movement activities- Supporting data modeling, warehouse design, and performance tuning for scalable analytics platforms- Reviewing technical deliverables from junior team members and providing guidance on methods and output quality- Collaborating with client stakeholders to understand data architecture needs, business context, and delivery priorities
What You Must Have
- At least a Bachelor's degree
- At least 5+ years of experience- Oral and written proficiency in English required
Free courses, interview questions and practice for each skill.
Hybrid
Full Time
PwC
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