DATA ARCHITECT

Job Title: Data Architect
 

Primary Skillset:

Data Engineering - Big data, Scala, Spark, Hive SQL
Google Cloud Platform, Google cloud storage and Big Query, ETL, Data Modeling.

Secondary Skills:

Power BI

Responsibilities
Design and develop scalable data architecture and data engineering solutions.
Build and optimize data pipelines using Spark, Scala, Hive SQL, and Google Cloud Platform technologies.
Develop ETL/ELT processes for large and complex datasets.
Design efficient data models for analytical and enterprise data platforms.
Work with BigQuery and Google Cloud Storage to implement cloud-based data solutions.
Collaborate with business, technical, and engineering teams to understand requirements and deliver data solutions.
Ensure data quality, performance, scalability, and reliability.
Support analytics and reporting requirements, including Power BI integrations.
Required Qualifications
Strong hands-on experience in Data Engineering / Data Architecture
Experience with Scala, Spark, Hive SQL
Strong Google Cloud Platform experience, including BigQuery and Google Cloud Storage
Solid understanding of ETL and Data Modeling
Experience working with large-scale data environments
Strong communication and problem-solving skills