Big Data Architect

2 days ago


Pune Maharashtra, India CRUTZ LEELA ENTERPRISES Full time

**Position**: Big Data Architect **Education**: Bachelor’s / Master’s degree in computer science, computer engineering, or relevant field. **Experience**: 10-12 Years **Skills Requirement**: - Overall 10+ years of experience, at least 2 years of experience in Big Data Architect. - Strong understanding of big data technologies: Hadoop, Spark, NoSQL databases, cloud-based data services (AWS, Azure, GCP). - Experience with open-source ecosystem programming languages (i.e., Python, Java, Scala, Spark etc.) - Proficiency in data modeling and database design: SQL, NoSQL. - Experience with ETL processes: Extracting, transforming, and loading data. - Strong analytical and problem-solving skills. - Good communication and collaboration skills. - Experience with data security and governance principles. - Knowledge of API design and development. - Understanding of data visualization techniques. - Strong understanding of authentication (i.e. LDAP, Active Directory, SAML, Kerberos etc.) & authorization configuration for Hadoop based distributed systems. - Familiarity of DevOps methodology & toolsets and automation experience. **Key Responsibilities**: - **Data Architecture Design**: Designing and implementing scalable and resilient data architectures for both batch and streaming data processing. - **Data Modeling**: Developing data models and database structures to ensure efficient data storage and retrieval. - **Data Security and Governance**: Ensuring data security, integrity, and compliance with relevant regulations. **- Data Integration**:Integrating data from various sources, including legacy systems, into the big data infrastructure. **- Performance Optimization**: Monitoring and optimizing the performance of the big data infrastructure. **- Collaboration**: Working with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical solutions. - **Technology Selection**: Evaluating and recommending new technologies and tools for data management and processing. - **Mentorship**: Provide guidance and mentorship to junior team members. **- Problem Solving**: Identifying and resolving complex data challenges. - Participate in the pre and post sales process, helping both the sales, professional. **Benefits**: - Provident Fund


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