{"schemaVersion":"jobsearcher.job.v1","id":"aea829f8ab25eb2e4062af9e","url":"https://jobsearcher.com/jobs/aea829f8ab25eb2e4062af9e","canonicalUrl":"https://jobsearcher.com/jobs/aea829f8ab25eb2e4062af9e","title":"Sr. Data Engineer","description":"Data Architecture Expertise: Proven experience in designing, developing, and maintaining data architectures for large-scale systems. Strong understanding of data modeling (conceptual, logical, and physical) and database design principles. Familiarity with relational, NoSQL, and cloud-based databases (e.g., SQL Server, MySQL, MongoDB, AWS, Azure).Data Governance & Quality Management:Expertise in implementing data governance frameworks, including metadata management, data lineage, and data stewardship. Familiarity with data quality management practices to ensure accuracy, completeness, and reliability of data.ETL & Data Integration:Experience with ETL processes, data migration, and data transformation.Hands-on experience with data integration tools (e.g., Informatica, Talend, Apache NiFi) and cloud data services.Data Warehousing & Data Lakes:Strong knowledge of data warehousing solutions, data lakes, and data lakehouses for storing and analyzing large volumes of structured and unstructured data.Familiarity with technologies like Snowflake, Redshift, Databricks, or Google BigQuery. Cloud Technologies:Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud for data storage, analytics, and services.Familiarity with cloud-native data architecture, serverless computing, and infrastructure-as-code.Data Security & Compliance:Proficiency in ensuring data security, privacy, and access control for sensitive healthcare data.Experience with encryption techniques, access control, and compliance with industry standards such as HIPAA. Technical Leadership & Collaboration:Strong ability to collaborate with cross-functional teams, including data engineers, data scientists, and business analysts.Experience leading technical teams, mentoring junior members, and providing architectural guidance.Ability to communicate effectively with both technical and non-technical stakeholders. Tools & Technologies:Proficiency in data modeling tools (e.g., Erwin, PowerDesigner).Experience with data visualization tools (e.g., Tableau, Power BI) and analytical frameworks (e.g., Spark, Hadoop).Knowledge of programming languages such as SQL, Python, and Scala.Regulatory Compliance & Emerging Trends:In-depth understanding of healthcare regulations and staying current with emerging trends in data architecture, healthcare analytics, and medical insurance. Data Architecture & Modeling: At least 7-10 years of experience designing and implementing complex data architectures, including data modeling and database design, particularly with large datasets. Data Governance & Quality: 3-5 years of experience setting up and managing data governance frameworks, including defining data standards, policies, and procedures. 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