Big Data Architect

8 hours ago

Pune Maharashtra, India CRUTZ LEELA ENTERPRISES Full time

Experience: 10-12 years Location: Pune (Work from Office) 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. Skills and Qualifications: - Bachelor’s / Master’s degree in computer science, computer engineering, or relevant field. - 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. Pay: ₹100,000.00 - ₹1,800,000.00 per year **Benefits**: - Provident Fund Work Location: In person

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