Data Consultant
2 weeks ago
**Position Summary**:
- A data engineer, data analyst, and business analyst to profile data sources, map data to data models, and define metrics for campaign analysis.
- This involves liaising with stakeholders to validate data sources, document the requirements for metric definitions, and build the scripts that query data from sources to be used in population of a target database.
- Requires a strong understanding of data engineering and analytics on AWS, Redshift, Databricks, SQL, Python, credit card data, customer data, and functional specification documentation.
**Mandatory Skills**:
- Strong experience in data engineering implementation, particularly in AWS data engineering, and Redshift.
- Experience in Databricks.
- Strong skills in developing in SQL, and Python.
- Ability to define marketing metrics from source data systems.
- Knowledge of marketing and campaign analytics.
- Knowledge of banking data, including customer data and credit card transaction data.
- Knowledge of DBT, Snowflake, Informatica, and docker.
- Familiarity with data modelling techniques and tools.
- Experience in data migration projects.
- Further experience across other public clouds like Google or Azure.
**Duties and Responsibilities**:
- Define metrics from credit card and customer data stored in Databricks and Teradata.
- Create functional specification documentation and SQL scripts.
- Develop optimized data engineering pipelines in AWS, using SQL, Python, and Redshift.
- Develop SQL for Teradata database and Databricks.
- Define metric requirements for credit card data domain.
- Define data models for storage of customer and credit card metrics.
**Salary Range **:$99,000-$115,000
**Next steps**:
LI-CTSAPAC
**Employee Status **:Full Time Employee
**Shift **:Day Job
**Job Posting **:Aug 24 2023
**About Cognizant
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