Big Data Architect

4 weeks ago

Pune, India CRUTZ LEELA ENTERPRISES Full time

Experience: 10-12 years

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.

Job Type: Full-time

Pay: ₹100, ₹900,000.00 per year

Benefits:

  • Provident Fund

Work Location: In person

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