Teradata data warehouse consultants and developers

Teradata consultants assess warehouse architecture and develop data models when reporting requirements exceed the current design. They translate business definitions into structures that support reliable analysis without duplicating calculation logic across reports.

• Warehouse architecture: Review subject-area boundaries and data dependencies, with recommendations for changes to existing Teradata environments.
• Dimensional and physical modelling: Define fact tables and dimensions, then select primary indexes and partitioning strategies based on access patterns. Reconcile reporting measures with business owners before implementation.

Teradata developers build SQL transformations and loading processes for new data sources or existing warehouse backlogs. Data engineers can extend ETL and ELT pipelines while preserving dependencies between source data and published reports.

Work can include stored procedures and BTEQ scripts, with Teradata Parallel Transporter (TPT) for bulk loading or extraction. Specialists implement incremental processing and restart controls, then investigate rejected records. Validation covers source-to-target reconciliation and business-rule checks so pipeline changes can be reviewed against expected reporting outputs.

Teradata DBAs and performance engineers investigate slow queries, missed batch windows, data skew and workload contention. They use execution plans and Database Query Log (DBQL) evidence to distinguish SQL issues from physical design or capacity constraints.

• Query and workload tuning: Review joins and statistics, adjust indexing where justified, and assess workload management rules against reporting priorities.
• Ongoing database support: Investigate failed jobs and space pressure. Support backup and recovery procedures, with testing of restoration steps against agreed operational requirements.

Teradata migration specialists assess dependencies before upgrades or moves to another warehouse platform. They inventory database objects and downstream consumers, then identify SQL constructs that need rewriting rather than direct conversion.

For Teradata Vantage upgrades or migrations to platforms such as Snowflake and BigQuery, specialists can contribute schema conversion and data movement scripts. Validation compares record counts and business aggregates, alongside query regression testing. Cutover planning includes incremental synchronisation and rollback criteria, with post-change support for reporting discrepancies and performance regressions.