Overview
Hybrid3 days onsite / 2 days Remote each week
Depends on Experience
Contract - W2
Contract - Independent
Contract - 6 Month(s)
Skills
Data Governance Analyst
Data Governance Collibra Developer
Job Details
***We are unable to sponsor for this 6+ month straight contract hybrid onsite role***
Prestigious Financial Company is currently seeking a Data Governance Developer with strong Collibra experience. Candidate will develop Metadata, Data Lineage and Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Kafka, Protocol Buffers, REDIS, APIs, Databases, Flat Files, JSON, ETL/BI Tools and other Data Platform technologies.
Responsibilities:
- Develop custom metadata connectors/scanners using Python, Collibra connectors and workflows to automate metadata harvest and import in Collibra Data Intelligence Platform.
- Design and Develop Collibra Workflows leveraging Collibra REST APIs to automate various data governance tasks and processes.
- Design, Build and Execute Data Quality Rules over the critical data elements (CDEs) identified according to the business needs to ensure clean and healthy data.
- Manage Data Quality Exceptions and help the team to find out the root cause analysis.
- Create Source to Target mapping documents reverse engineering the application Java code/SQL queries for the identified data flows to implement end-to-end data lineage.
- Design and build data capabilities - data quality, metadata, data catalog and data dictionary.
Qualifications:
- 6 or more years of data analysis, Collibra DIP and DQ tool experience with robust understanding of metadata, data quality, data flows and data lineage mappings.
- Proficient with SQL and Python.
- Handson experience with Data Governance tools - Collibra Data Catalog (DIP) and Collibra Data Quality.
- Proficient configure and customize Collibra workflows using BPMN and Groovy scripting.
- Hands-on experience integrating and developing solutions using Collibra REST APIs.
- Ability to develop and implement Data Quality Solutions for multiple data sources across On Prem and Cloud environments including but not limited to Databases, Flat Files, JSON, APIs, Kafka etc.
- Experience working on Protobuf, APIs, Kafka as Data Sources is preferred.
- Experience working with various types of databases like Relational, NoSQL, Object-based.
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