Senior Data Engineer/ Jr. Data Architect
4 days ago
- Lead data engineering squad to design, build, and optimize ETL pipelines; ensures quality and performance standards.
- Must have one Hetero/Homogeneous migration experience
- Interact closely with Business Analysis team, ETL team and BI Reporting teams to ensure understanding of proper use of data architecture.
- Design, build, and maintain physical databases, dimensional data models, ETL layer design and data integration strategies.
- Deep understanding of data modelling, data warehousing, and data quality.
- Candidate should possess excellent problem solving abilities and data analysis
- Good written and verbal communication skills.
Roles & Responsibilities:
- Design and implement effective database solutions and models to meet clients requirements
- Examine and identify database structural necessities by evaluating client operations applications, and programming.
- Assess database implementation procedures to ensure they comply with internal and external regulations.
- Install and organize information systems to guarantee company functionality.
- Prepare accurate database design and architecture reports for management and executive teams
- Oversee the migration of data from legacy systems to new solutions.
- Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
- Recommend solutions to improve new and existing database systems.
- Develop high performance and scalable solutions using GCP that extract, transform, and load big data (ETL)
- Educate team members through training and individual support.
- Experienced in Modernizing legacy Data Warehouse with high-intensity Big data solutions
- At least one Full life cycle project of a Real-time data ingestion project with any Cloud platform
- Good to have an understanding of Google AI/ML services
Preferred Skills
- Should have skills and ability to engage in multiple initiatives simultaneously.
- Able to analyse information and anticipate outcomes to choose the best solutions.
- Extensive knowledge and practical experience in defining Master Data Management strategies, implementing MDM services, Metadata Management, Data Governance, and Data Quality solutions.
- Familiarity with enterprise data integration technologies and methods, including ETL, data replication, and data services.
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