5+ years of strong proficiency in designing and implementing solutioning and designing data models, planning databases, ensuring data security, improving databases, creating a data catalog, staying current
5+ years of experience with testing tools related to big data technologies (e.g., Spark, Databricks)
3+ years of expertise with big data technologies including Power BI, Databricks, and Spark
Strong technical expertise in distributed systems, big data, and cloud computing
Solid understanding of software development lifecycles, agile methodologies, and continuous integration practices
Experience with version control systems (e.g., Git) and continuous integration tools (e.g., Jenkins) is a plus
Familiarity with cloud platforms (e.g., AWS, Azure, GCP)
To assess the domain IT landscape assessment and application portfolio optimization for gap analysis
Creation of solution and architectural views (logical, conceptual, development, execution, infrastructure and operations architecture)
To collaborate with business and technical stakeholders, including leaders, project managers, and development teams, to understand and prioritize requirements while defining the architecture
To ensure knowledge up-gradation and work with new and emerging products or technologies
To drive innovation by exploring and recommending new solutions within the organization
To contribute towards white or technical papers and knowledge base
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