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# Data Warehouse Specialist

- **Company:** Tata Consultancy Services Limited
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Microsoft Excel, Application Programming Interfaces (APIs), Airflow, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Databases, Continuous Integration, Information Engineering, Data Governance, Data Masking, Data Warehousing, IBM DB2, DevOps, JSON, Python (Programming Language), Mainframes, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Role-Based Access Control, Tokenization, Virtual Storage Access Methods, Extensible Markup Language (XML), Data Ingestion, Snowflake, Gitlab, Pyspark, Git Flow, Qlikview, Database Replication, Drift Detection, Software Version Control, Data Pipelines
- **Published:** October 28, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88725318/1

## About the Role

Must Have Technical/Functional Skills

 * Job description: We are seeking a highly skilled Senior Data Engineer to architect,
 * build, and optimize enterprise grade data pipelines across cloud, on prem, and hybrid
 * environments. This role requires deep expertise in Qlik Replicate, Snowflake, DBT Cloud,
 * Astronomer Airflow, and Python based ingestion frameworks, with strong engineering
 * discipline around schema governance, DevOps CI/CD, monitoring, and performance
 * optimization. The ideal candidate thrives in complex data ecosystems and brings a
 * strong mindset around automation, metadata driven design, and secure, governed ingestion., * 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.

## Description

* 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.