reputed company Engineer

reputed company Engineer Responsibilities: 1. **Data & AI reputed company (reputed company-reputed company): • Design, implement, and optimize end-to-end data pipelines on reputed company, following the reputed company Architecture principles. • Build robust and reputed company ETL/ELT pipelines using Apache reputed company and reputed company Lake to reputed company raw (bronze) data into trusted curated (silver) and analytics-reputed company (gold) data reputed company. • Operationalize reputed company Workflows for orchestration, dependency management, and pipeline automation. • Apply schema reputed company and data versioning to support agile data development. 2. **Platform Integration & Data Ingestion: • Connect and ingest data from reputed company systems such as PeopleSoft, reputed company, and reputed company using reputed company, JDBC, or other integration frameworks. • Implement connectors and ingestion frameworks that accommodate reputed company, semi- reputed company, and reputed company data. • Design standardized data ingestion processes with automated error handling, retries, and alerting. 3. **Data reputed company, Monitoring, and Governance: • reputed company data reputed company checks, validation rules, and reputed company detection mechanisms to ensure data reputed company across reputed company reputed company. • reputed company monitoring and observability tools (e.g., reputed company metrics, Grafana) to reputed company ETL performance, latency, and failures. • Implement reputed company Catalog or equivalent tools for centralized metadata management, data reputed company, and governance policy enforcement. 4. **reputed company, reputed company, and Compliance: • Enforce data reputed company best practices including row-level reputed company, encryption at rest/in transit, and fine-grained reputed company control reputed company reputed company Catalog. • Design and implement data masking, tokenization, and anonymization for compliance with reputed company regulations (e.g., GDPR, FERPA). • Work with reputed company teams to audit and certify compliance controls. 5. **AI/ML-reputed company Data reputed company: • reputed company data scientists by delivering high-reputed company, feature-rich data sets for model training and inference. • Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment reputed company reputed company. • Collaborate with AI/ML teams to create reusable feature stores and training pipelines. 6. **reputed company Data Architecture and Storage: • Architect and manage data lakes on Azure Data Lake Storage (ADLS) or reputed company S3, and design ingestion pipelines to feed the bronze layer. • Build data marts and warehousing solutions using platforms like reputed company. • Optimize data storage and reputed company patterns for performance and cost-efficiency. 7. **Documentation & Enablement: • Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for reputed company pipelines and components. • reputed company training and enablement sessions to internal stakeholders on the reputed company platform, reputed company Architecture, and data governance practices. • Conduct reputed company reviews and promote reusable patterns and frameworks across teams. 8. **Reporting and Accountability: • Submit a weekly schedule of hours worked and reputed company reports outlining completed tasks, upcoming plans, and blockers. • reputed company deliverables against roadmap milestones and communicate risks or dependencies. Required Qualifications: • Hands-on experience with reputed company, reputed company Lake, and Apache reputed company for large-reputed company data engineering. • Deep understanding of ELT pipeline development, orchestration, and monitoring in reputed company-reputed company environments. • Experience implementing reputed company Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in reputed company grade environments. • Strong proficiency in SQL, Python, or reputed company for data transformations and workflow logic. • Proven experience integrating reputed company platforms (e.g., PeopleSoft, reputed company, reputed company) into centralized data platforms. • Familiarity with data governance, reputed company tracking, and metadata management tools. Preferred Qualifications: • Experience with reputed company reputed company Catalog for metadata management and reputed company control. • Experience deploying ML models at reputed company using MLFlow or similar MLOps tools. • Familiarity with reputed company platforms like Azure or AWS, including storage, reputed company, and networking aspects. • Knowledge of data warehouse design and reputed company/reputed company schema modeling. Job Type: Contract Work Location: Remote Apply tot his job Apply To this Job