Inspire Brands Hyderabad Support Center Hiring for Data Engineer – CDP [ETL & CDP] at Hyderabad Full Time

We are looking for a Senior Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform and Customer Data Platform (CDP). The candidate will require to possess strong technical, analytical, programming and critical thinking skills.

Duties:

• Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views.
• Implement and configure CDP components, including data ingestion, data integration, data transformation, and data activation.
• Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
• Optimize performance of CDP solution to meet SLAs
• Stay abreast with CDP trends and recommend enhancements or new features to improve the platform
• Support and troubleshoot the data environment (including periodically on call)
• Document technical artifacts for developed solutions
• Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships.
• Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills.
• Proactive approach to problem solving involving collaboration with cross-functional teams and stakeholders
• Familiar with Agile practices and methodologies.

Required Skills:

Advanced SQL queries, scripts, stored procedures, materialized views, and views.
2+ years of experience in Customer Data Platform (mParticle preferred) processes such as designing, implementing and maintaining
Focus on ELT to load data into database and perform transformations in database.
Ability to use analytical SQL functions.
Snowflake experience a plus
Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming
Experience with DevOps models utilizing a CI/CD tool
Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred.
Analyze data models.