Teradata EDW Data Engineer

Spes Staffing Solutions; Gurugram District, Bengaluru, Pune District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Spes Staffing Solutions is seeking a Teradata EDW Data Engineer in India with 5-9 years of experience to design and optimize Teradata EDW/Data Mart solutions.

The role emphasizes SQL optimization, indexing, and use of Teradata utilities to ensure performance, SLA compliance, and collaboration with analytics and DBA teams for scalable data solutions. Cloud migration experience is a plus.

Qualifications

• Develop and optimize Teradata EDW/Data Mart solutions.
• Tune complex SQL queries and improve database performance.
• Work on data modeling, indexing, Teradata utilities, and performance optimization.
• Monitor and troubleshoot production workloads to meet SLA requirements.

Responsibilities

• Develop and optimize Teradata EDW/Data Mart solutions.
• Tune complex SQL queries and improve database performance.
• Work on data modeling, indexing, Teradata utilities, and performance optimization.
• Monitor and troubleshoot production workloads to meet SLA requirements.
• Collaborate with business, analytics, and DBA teams to deliver scalable data solutions.

Skills

Teradata

EDW/Data Warehouse

Data Mart

SQL & BTEQ Scripting

Teradata Performance & Query Tuning

Explain Plan

Indexing (UPI/NUPI/USI/NUSI)

Collect Statistics

FastLoad

MultiLoad

TPump

FastExport

TPT

Physical Data Modeling

Viewpoint

DBQL

QueryGrid

Power BI/QlikView

Cloud Migration

Job description

Hiring: Teradata EDW Data Engineer

Location: India
Experience: 5 - 9 Years

Key Skills

• Teradata, EDW/Data Warehouse, Data Mart
• SQL & BTEQ Scripting
• Teradata Performance & Query Tuning
• Explain Plan, Indexing (UPI/NUPI/USI/NUSI), Collect Statistics
• FastLoad, MultiLoad, TPump, FastExport, TPT
• Physical Data Modeling
• Viewpoint, DBQL, QueryGrid
• Power BI/QlikView (Good to Have)
• Cloud Migration (Preferred)

Job Responsibilities

• Develop and optimize Teradata EDW/Data Mart solutions.
• Tune complex SQL queries and improve database performance.
• Work on data modeling, indexing, Teradata utilities, and performance optimization.
• Monitor and troubleshoot production workloads to meet SLA requirements.
• Collaborate with business, analytics, and DBA teams to deliver scalable data solutions.