Teradata

Teradata

• Primary skills:Technology->Cloud Platform->Terraform Minimum Qualifications: • 3–5 years of experience working with Teradata in data warehousing or analytics environments. • Strong hands-on experience in SQL, including complex joins, aggregations, window functions, and query optimization. • Experience with data modeling concepts (dimensional modeling, fact/dimension structures) and data quality practices. • Bachelor’s degree or equivalent in Engineering/Technology/Computer Applications/Science (BE/BTech/MTech/MCA/MSc or equivalent). • Ability to analyze requirements, troubleshoot issues, and communicate clearly with technical and non-technical stakeholders. Preferred Qualifications: • Experience with Teradata utilities and tooling such as BTEQ, FastLoad, MultiLoad, and TPT for data movement and automation. • Exposure to workload management and performance diagnostics (e.g., query plans, statistics collection strategies). • Familiarity with ETL orchestration and scheduling concepts for batch and incremental processing. • Experience working in Agile delivery models with strong ownership of deliverables and timelines. • Proven ability to improve existing warehouse processes through optimization, standardization, and documentation best practices. Good to have skills: Teradata Utilities (BTEQ, TPT), Performance Tuning, Data Modeling (Dimensional), ETL/ELT Concepts, Agile/Scrum Develop, enhance, and maintain Teradata-based data warehouse solutions aligned to business requirements. • Write, optimize, and troubleshoot complex SQL queries, views, and stored logic to support analytics and reporting needs. • Perform performance tuning using Teradata features (e.g., statistics, indexing strategies, partitioning) to improve query efficiency. • Design and implement ETL/ELT workflows and data transformations within Teradata environments. • Ensure data accuracy and consistency through validation checks, reconciliation, and root-cause analysis of data issues. • Collaborate with cross-functional teams to translate functional requirements into technical specifications and deliverables. • Support production deployments, monitor batch workloads, and resolve incidents within agreed SLAs. • Maintain technical documentation for data models, mappings, and operational procedures.