Role Overview:
We are looking for a hands-on dbt Data Engineer / Developer to build, test, and maintain scalable ELT transformation pipelines using dbt, SQL, Snowflake, and modern cloud data platforms.
· Design, develop, and maintain dbt models for staging, intermediate, and mart layers.
· Build ELT pipelines using SQL, dbt, and Snowflake, including staging, transformation, and data mart layers; exposure to Databricks, BigQuery, Redshift, or Azure Synapse is an added advantage.
· Implement dbt tests, documentation, source freshness checks, snapshots, and reusable macros.
· Optimize SQL queries and dbt models for performance, reliability, and maintainability.
· Work with analysts, business users, and senior data engineers to translate requirements into data models and transformation logic.
· Support Git-based development, pull requests, code reviews, CI/CD deployments, and environment management.
· Exposure to legacy data warehouse migration or modernization initiatives, preferably involving Teradata to Snowflake migration, including support for SQL conversion, data validation, reconciliation, and defect fixes.
· Troubleshoot pipeline failures, data quality issues, and production defects in collaboration with platform and support teams.
Required Skills and Experience:
· Strong experience in data engineering, ETL/ELT development, analytics engineering, or data warehousing.
· Strong hands-on experience with dbt Core or dbt Cloud.
· Advanced SQL skills with experience in complex transformations and performance tuning.
· Good understanding of dimensional modelling, star schema, data marts, and warehouse concepts.
· Hands-on experience with Snowflake, including SQL development, warehouse usage, schemas, tables, views, access roles, and performance-aware query design.
· Good understanding of Snowflake objects such as databases, schemas, virtual warehouses, stages, file formats, streams, tasks, and secure views.
· Good understanding or hands-on exposure to Teradata concepts, SQL, data warehouse objects, BTEQ scripts, stored procedures, views, and migration activities from Teradata to Snowflake.
· Experience supporting migration testing, source-to-target validation, record count checks, data quality checks, and comparison of migrated data between Teradata and Snowflake.
· Good-to-have exposure to mainframe data sources, including COBOL copybooks, VSAM files, DB2 on z/OS, JCL, batch files, flat files, and mainframe-to-cloud data extraction patterns.
· Experience with Git, branching strategies, pull requests, and code review processes.
· Strong analytical, problem-solving, communication, and team collaboration skills.
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关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
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