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• EAD (OPT/CPT/GC/H4)

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• Corp-Corp

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• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 19th Apr 2025

• 8+ years of experience in Data Engineering or L3 level of support in data Analytics
General Description
• Experience with Data Lake, data warehouse ETL pipelines build and design.
• Hands-on with GCP data and analytics services - Cloud DataProc, Cloud Dataflow, Cloud Dataprep , Apache Beam/ composer, Cloud BigQuery,
• Data Pipeline Development: Design, develop, and maintain ETL/ELT pipelines to ensure seamless data flow from various sources to our data warehouse using DBT or GCP BigQuery.
• Data Modelling: Implement and manage data models in BigQuery to support business analytics and reporting needs.
• Version Control: Utilize GIT for version control to manage changes in data pipelines, schemas, and related code.
• Solid coding skills in languages such as SQL, Python, or Java
• 8+ years of experience as a Data Engineer or in a similar role
Technical Requirements
• Identify, create, maintain and support data model/data aggregation model base on business requirements and implement ETL for those models accordingly. 
• Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. 
• Implementing, establishing standards, and maintaining company data lake (UDP), regional platforms data streaming from Apache Kafka topics. 
• Develop and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. 
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization. 
• Writes unit/integration tests, contributes to engineering wiki, and documents work. 
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. 
• Works closely with a team of frontend and backend engineers, product managers, and analysts. 
• Design data integrations and data quality framework. 
• Design and evaluates open source and vendor tools for data lineage. 
• Work closely with all business units and engineering teams to develop strategy for long term data platform architecture. 
• Plan, create, and maintain data architectures while also keeping it aligned with business requirements. 
• Work closely with business and application delivery team on new digital project/implementation to understand solution and implemented data structure so that all relevant data engineer work including reports and various data-related enhancement can be implemented accordingly as part of the project. 
• Develop report/dashboard/dataset for business user base on request. 
• Assist to support existing reports/dashboard/dataset and also maintain report/dashboard/dataset repository.