Sr. Data Scientist
$90k - $110kYochana
Sr. Data Scientist
Washington DC (Day1 onsite)
The pay range for this role is $90k - $110k per annum including any bonuses or variable pay.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure Databricks and Apache Spark
- Implement complex data transformations using Spark SQL and Python (mandatory)
- Build and manage analytics models using DBT Core / DBT Cloud, following analytics engineering best practices
- Develop and orchestrate data ingestion and transformation workflows using Azure Data Factory
- Ensure data quality, reliability, and performance across batch and near real time pipelines
- Integrate Databricks workloads with downstream reporting, analytics, and AI/ML use cases
- Collaborate with cross functional teams to understand business requirements and translate them into technical solutions
- Implement CI/CD pipelines and source control using Azure DevOps
- Apply secure data engineering practices aligned with WBG data governance and compliance standards
- Leverage AI assisted tools to improve developer productivity, code quality, and operational efficiency
- Participate in design reviews, code reviews, and knowledge sharing sessions
Mandatory Skills & Qualifications
- Strong expertise in Spark SQL and Python programming (Mandatory)
- Azure Databricks Data Engineer with at least one real time project implementation
- Hands on experience with DBT Core and/or DBT Cloud
- Experience building and managing pipelines using Azure Data Factory
- Proficiency with Azure DevOps (Repos, Pipelines, CI/CD)
- Experience using AI tools (e.g., AI assisted development, data analysis, or automation tools)
- Solid understanding of data warehousing concepts, ETL/ELT patterns, and distributed data processing
- Ability to work in agile delivery models and collaborate with global teams
Primarily Looking At
- Azure Data Factory (ADF)
- DBT Cloud
- Databricks
- Python
Preferred / Good to Have Skills
- Databricks Certification - Associate or Professional (strongly preferred)
- Experience with Azure data ecosystem (ADLS Gen2, Azure SQL, Synapse as applicable)
- Exposure to data governance, metadata management, and security frameworks
- Familiarity with performance tuning and cost optimization on Databricks
Vacancy posted 2 days ago
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