Data Engineer

Role: Data Engineer * Data Engineer with 8+ experience Descriptions: " Responsibilities: Data Pipeline Architecture & Development Design and implement scalable, resilient data pipelines using Snowflake features including Snowpipe, Tasks, Streams, Dynamic Tables, and advanced SQL. Build and maintain DBT models with strong testing, documentation, and lineage. Develop Python ingestion frameworks for files and APIs, including schema validation, retries, and metadata capture. Engineer ingestion for CSV, fixed width multi record layouts, JSON, XML, Excel, and semi structured formats. Design Mainframe VSAM data ingestion pattern for complex EBCDIC data formats. Schema Drift & Schema Evolution Detect, analyze, and manage schema drift across file, API, and replicated database sources. Implement metadata driven schema evolution strategies to ensure downstream stability. Coordinate schema changes through controlled CI/CD workflows. Database Replication & CDC Configure and manage Qlik Replicate tasks for CDC and full load replication from Oracle, SQL Server, and DB2. Ensure idempotent, auditable, and recoverable replication pipelines with strong monitoring and reconciliation. Data Governance, Security & Tokenization Implement and maintain Snowflake Data Masking policies, including dynamic masking, conditional masking, and role based masking rules. Apply Protegrity tokenization for sensitive data fields across ingestion and transformation layers. Enforce RBAC, data access controls, and governance standards across Snowflake and supporting systems. Orchestration & Automation Build and schedule workflows using Astronomer Airflow, ensuring dependency management, retries, SLAs, and observability. Integrate pipelines with enterprise DevOps processes using GitLab and Azure DevOps for CI/CD automation. Version Control & Code Quality Manage code repositories using GitLab, including branching strategies, merge requests, code reviews, and approvals. Monitoring, Alerting & Performance Optimization Implement monitoring and alerting for ingestion pipelines, schema drift, replication, and transformation workloads. Optimize Snowflake compute, storage, and query performance; scale ingestion pipelines to meet evolving data volume and latency requirements. " 8+ years of hands on data engineering experience. Deep expertise with Snowflake, including data masking policies, RBAC, performance tuning, and advanced SQL. Strong experience with Qlik Replicate for CDC and database replication. Excellent proficiency in Python and Pyspark for ingestion frameworks and automation. Hands on experience with DBT Cloud and Astronomer Airflow. Experience with schema drift detection and schema evolution patterns. Experience with GitLab and CI/CD pipelines. Familiarity with Protegrity or similar data protection platforms. #J-18808-Ljbffr