MyCareernet
Company:
https://www.linkedin.com/company/mycareernet
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
Company:IT Services Organization
Key Skills: Data Architecture, Data Modeling, ETL/ELT, Azure/AWS/GCP, Data Lakehouse, SQL, NoSQL, Data Governance, Streaming, Microservices
Roles & Responsibilities:
- Design and maintain enterprise data architecture and data models.
- Design scalable data pipelines for batch, real-time, and streaming data.
- Develop data integration solutions using APIs, microservices, and event-driven architecture.
- Define standards for data quality, metadata, master data, and governance.
- Ensure data security, compliance, lineage, and access controls.
- Work with cloud platforms and modern data lakehouse architectures.
- Collaborate with engineering and business teams to deliver scalable data solutions.
- Provide technical leadership and guidance on data architecture and best practices.
Experience Required:
- 15 - 18 years of experience in data engineering, database design, or data architecture.
- Strong experience in enterprise data modeling, including OLTP, OLAP, dimensional modeling, and Data Vault.
- Hands-on experience with ETL/ELT tools and data pipeline architecture.
- Strong SQL and NoSQL database design experience.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Experience with streaming platforms and real-time data processing.
- Strong understanding of data governance, security, quality, and lineage.
- Experience with API integration, microservices, and event-driven architecture.
- Exposure to AI/ML data preparation, feature stores, or MLOps is an added advantage.
Education: Any Graduation
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