Teradata Engineer

Basking Ridge, New Jersey, United StatesHybridContractPosted 2 months agoVisa sponsorship available

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Role summary

Seeking an experienced Senior Teradata Engineer with 8-12 years of experience in Teradata SQL, BTEQ, and ETL utilities (FastLoad, MultiLoad). This hybrid role requires deep expertise in optimizing enterprise data warehouse solutions, legacy refactoring, performance tuning, schema migration, and driving cloud migration initiatives, preferably to GCP. The candidate will lead development, architect ETL processes, ensure data quality, and troubleshoot production issues. This position also involves mentoring junior engineers and driving technical excellence, blending hands-on technical skills with leadership capabilities to modernize systems and deliver high-performance data solutions.

Role- Teradata Engineer

Location--Basking Ridge NJ Hybrid

Exp- 8-12 Year

About the Role

We are seeking an experienced Senior Teradata Engineer with deep expertise in Teradata SQL, BTEQ, and ETL utilities (FastLoad, MultiLoad) to lead and optimize enterprise data warehouse solutions. The ideal candidate will have strong experience in legacy refactoring, performance tuning, schema migration, and driving cloud migration initiatives (preferably to GCP).This role requires both hands-on technical expertise and leadership capabilities to modernize legacy systems and deliver scalable, high-performance data solutions.

Role and responsibilities

Design, develop, and optimize Teradata-based data warehouse solutions

Lead development of complex Teradata SQL queries, stored procedures, and macros

Architect and manage ETL processes using BTEQ, FastLoad, MultiLoad (MLoad), and TPump

Drive performance tuning and optimization (query plans, indexing, partitioning, workload management)

Define and execute schema migration strategies for large-scale data transformation

Drive Teradata to cloud migration programs (preferably GCP – BigQuery)

Ensure data quality, reconciliation, and validation frameworks

Troubleshoot and resolve complex production issues and performance bottlenecks

Collaborate with data architects, business teams, and cross-functional stakeholders

Implement best practices for code standardization, version control, and deployment

Mentor junior engineers and drive technical excellence within the team

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