Data Warehouse Specialist

Tata Consultancy Services

Chicago (IL)

On-site

USD 100,000 - 130,000

Full time

8 days ago
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Benefits offered by this job

Discretionary incentive
Medical coverage
Parental leave
401K plan
Training reimbursement

Job summary

Tata Consultancy Services is seeking a Senior Data Engineer to architect and optimize enterprise data pipelines across cloud, on‑prem, and hybrid environments.

Ideal candidates have 8+ years in data engineering, deep Snowflake and Qlik Replicate experience, and strong Python/PySpark skills for ingestion and automation.

Qualifications

  • 8+ years of hands-on data engineering experience.
  • Deep expertise with Snowflake features, security, and performance tuning.
  • Strong Python and PySpark for ingestion frameworks and automation.
  • Proven experience with Qlik Replicate for CDC and data replication.
  • Experience with DBT Cloud and Astronomer Airflow.

Responsibilities

  • Design and implement scalable, resilient data pipelines across cloud and on‑prem environments.
  • Architect data pipelines leveraging Snowflake features (Snowpipe, Tasks, Streams).
  • Develop Python ingestion frameworks with schema validation and metadata capture.
  • Coordinate CI/CD workflows and governance for data pipelines.

Skills

Python
Pyspark
CI/CD
Data governance
RBAC

Tools

Snowflake
Qlik Replicate
DBT Cloud
Astronomer Airflow

Job description

  • 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.
  • Responsibilities:
  • Design and implement scalable, resilient data pipelines using Snowflake features
Job Description
Role - Data Warehouse Specialist

Experience Required -5+ Years

  • 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.
  • 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.
  • Required Skills & Experience:
  • 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.

Base Salary Range : $100,000 to $130,000 Per Annum

TCS Employee Benefits Summary
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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