Data Scientist (Big Data Engineer) 2 (C0022)

Data Scientist (Big Data Engineer) 2 (C0022) Telework 5 Months Contract Required 4 Years - Implement ETL/ELT workflows for both structured and unstructured data 4 Years - Automate deployments using CI/CD tools 4 Years - Collaborate with cross-functional teams including data scientists, analysts, and stakeholders 4 Years - Design and maintain data models, schemas, and database structures to support analytical and operational use cases 4 Years - Evaluate and implement appropriate data storage solutions, including data lakes (Azure Data Lake Storage) and data warehouses 4 Years - Implement data validation and quality checks to ensure accuracy and consistency 4 Years - Contribute to data governance initiatives, including metadata management, data lineage, and data cataloging 4 Years - Implement data security measures, including encryption, access controls, and auditing; ensure compliance with regulations and best practices 4 Years - Proficiency in Python and R programming languages 4 Years - Strong SQL querying and data manipulation skills 4 Years - Experience with Azure cloud platform 4 Years - Experience with DevOps, CI/CD pipelines, and version control systems 4 Years - Working in agile, multicultural environments 4 Years - Strong troubleshooting and debugging capabilities 3 Years - Design and develop scalable data pipelines using Apache Spark on Databricks 3 Years - Optimize Spark jobs for performance and cost-efficiency 3 Years - Integrate Databricks solutions with cloud services (Azure Data Factory) 3 Years - Ensure data quality, governance, and security using Unity Catalog or Delta Lake 3 Years - Deep understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL 3 Years - Hands-on experience with Databricks notebooks, clusters, jobs, and Delta Lake Preferred 1 Year - Knowledge of ML libraries (MLflow, Scikit-learn, TensorFlow) 1 Year - Databricks Certified Associate Developer for Apache Spark 1 Year - Azure Data Engineer Associate