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Data Scientist (Big Data Engineer) 2
InfoStride Technologies
- United States
- United States
Über
ll work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Department of Family and Protective Services and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Department of Family and Protective Services will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
The Worker is responsible for developing, maintaining, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role supports data engineering, machine learning, and analytics initiatives within this organization that relies on large-scale data processing. Duties include: Designing and developing scalable data pipelines Implementing ETL/ELT workflows Optimizing Spark jobs Integrating with Azure Data Factory utomating deployments Collaborating with cross-functional teams Ensuring data quality, governance, and security. ****DFPS NOT-TO-EXCEED RATE IS ***/HR****II. CANDIDATE SKILLS AND QUALIFICATIONSMinimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 4 Required Implement ETL/ELT workflows for both structured and unstructured data 4 Required Automate deployments using CI/CD tools 4 Required Collaborate with cross-functional teams including data scientists, analysts, and stakeholders 4 Required Design and maintain data models, schemas, and database structures to support analytical and operational use cases 4 Required Evaluate and implement appropriate data storage solutions, including data lakes (Azure Data Lake Storage) and data warehouses 4 Required Implement data validation and quality checks to ensure accuracy and consistency 4 Required Contribute to data governance initiatives, including metadata management, data lineage, and data cataloging 4 Required Implement data security measures, including encryption, access controls, and auditing; ensure compliance with regulations and best practices 4 Required Proficiency in Python and R programming languages 4 Required Strong SQL querying and data manipulation skills 4 Required Experience with Azure cloud platform 4 Required Experience with DevOps, CI/CD pipelines, and version control systems 4 Required Working in agile, multicultural environments 4 Required Strong troubleshooting and debugging capabilities 3 Required Design and develop scalable data pipelines using Apache Spark on Databricks 3 Required Optimize Spark jobs for performance and cost-efficiency 3 Required Integrate Databricks solutions with cloud services (Azure Data Factory) 3 Required Ensure data quality, governance, and security using Unity Catalog or Delta Lake 3 Required Deep understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL 3 Required Hands-on experience with Databricks notebooks, clusters, jobs, and Delta Lake 1 Preferred Knowledge of ML libraries (MLflow, Scikit-learn, TensorFlow) 1 Preferred Databricks Certified Associate Developer for Apache Spark 1 Preferred Azure Data Engineer Associate
Sprachkenntnisse
- English
Hinweis für Nutzer
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