- 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.