Data Architect Specialist

23 hours ago

Mumbai, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Data Architect SpecialistWe are seeking a skilled Data Architect to design and develop large-scale data processing systems. The ideal candidate will have extensive experience in designing, developing, and maintaining data warehouses, as well as strong knowledge of database management systems and ETL frameworks.The successful candidate will work collaboratively with stakeholders to translate business information needs into well-defined data requirements, design and implement dimensional and fact tables, and develop high-level designs and estimates for data transformation and data integration from source applications to end-user BI solutions.Key Responsibilities:
  • Work with stakeholders to understand business processes and identify data requirements
  • Design and implement dimensional and fact tables using data warehousing concepts and strategies
  • Develop high-level designs and estimates for data transformation and data integration
  • Analyze and resolve problems and provide technical assistance as necessary
  • Partner with the BI team to evaluate, design, develop, and deploy BI reports and dashboards
Requirements:
  • Bachelor's degree in Computer Science or similar field
  • 3+ years of experience on Data Warehousing, Data Engineering, or Data Integration projects
  • Expert with data warehousing concepts, strategies, and tools
  • Strong SQL background and knowledge of relational databases like SQL Server, PostgreSQL, MySQL
  • Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function, and GCS
Preferred Skills:
  • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL framework, data-warehousing and Data Lakes
  • Good understanding of SDLC, Agile and Scrum processes
  • Strong problem-solving, multi-tasking, and organizational skills
  • Highly proficient in working with large volumes of business data and strong understanding of database design and implementation

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