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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