Hello folks,
Hope everything is well by your side.
Kindly send me your consultants for the position of Data Engineer
Role: Data Governance w/Data Engineering -Remote
Client: AT&T
Project Description
Responsible for requirement gathering, analysis, design, development, testing, and deploying a large volume of data processing automation. Qualified candidates will support multiple applications in a fast-paced environment. Requires working with large, complex data sets derived from diverse, complex, and frequently unrelated sources. Candidates will be expected to develop code and derive functions/packages to evolve rules engines using large volume and chains of data rules to create data governance and management of metadata, business rules and data lineage.
Responsibilities
The candidate will be focused on data governance leveraging the Alation (SaaS tool). The candidate will meet with business data stewards to gather business data catalogs and import them into Alation. Responsibilities will include maintaining metadata, source data tracking, business rule identification, and documentation. This position will focus on retiring legacy and siloed data catalogs while building a robust data governance framework. This will require the candidate to be responsible for requirement gathering, analysis, design, development, testing and deploying a large volume of data processing automation to support applications in a fast-paced environment. Additionally, will work with a large amount of data from diverse, complex, and frequently unrelated sources and be able to develop codes and derive functions/packages to evolve rule engines using a large volumes of chains of data rules to create prototypes/models/tools with little or no guidance.
Skills
Must have
Data Governance, Data Engineering, Cloud, Alation (SaaS tool); SQL: SnowSQL, Teradata SQL; PySpark/Python; Databricks, snowflake;
Azure/AWS cloud
Nice to have
Alation tool
--
Client: AT&T
Project Description
Responsible for requirement gathering, analysis, design, development, testing, and deploying a large volume of data processing automation. Qualified candidates will support multiple applications in a fast-paced environment. Requires working with large, complex data sets derived from diverse, complex, and frequently unrelated sources. Candidates will be expected to develop code and derive functions/packages to evolve rules engines using large volume and chains of data rules to create data governance and management of metadata, business rules and data lineage.
Responsibilities
The candidate will be focused on data governance leveraging the Alation (SaaS tool). The candidate will meet with business data stewards to gather business data catalogs and import them into Alation. Responsibilities will include maintaining metadata, source data tracking, business rule identification, and documentation. This position will focus on retiring legacy and siloed data catalogs while building a robust data governance framework. This will require the candidate to be responsible for requirement gathering, analysis, design, development, testing and deploying a large volume of data processing automation to support applications in a fast-paced environment. Additionally, will work with a large amount of data from diverse, complex, and frequently unrelated sources and be able to develop codes and derive functions/packages to evolve rule engines using a large volumes of chains of data rules to create prototypes/models/tools with little or no guidance.
Skills
Must have
Data Governance, Data Engineering, Cloud, Alation (SaaS tool); SQL: SnowSQL, Teradata SQL; PySpark/Python; Databricks, snowflake;
Azure/AWS cloud
Nice to have
Alation tool
Thanks & Regards
 |
|
Post a Comment