Mangaluru · Executive
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Job Description for Senior Big Data Architect at Niveus:
Niveus is seeking a highly skilled and experienced Senior Big Data Architect to join our dynamic team. In this role, you will be responsible for designing and implementing scalable big data solutions that meet our clients' business needs. You will work closely with data engineers, data scientists, and other stakeholders to create robust data architectures that support advanced analytics and data-driven decision-making.
Key responsibilities:
Skills and Tools Required
If you are a proactive, innovative thinker with a passion for big data solutions, we encourage you to apply and be a part of our exciting journey at Niveus.
CE - Data
1
Cloud Data Architect, Big Data Architect
About the Role:
As a Senior Big Data Architect at Niveus, you will play a pivotal role in designing and implementing big data solutions that meet the evolving needs of the business. You will leverage your expertise to optimize data architecture and support advanced analytics initiatives. This position requires collaborating with cross-functional teams to ensure data strategies align with overall business goals.
About the Team:
You will be part of a dynamic team of data professionals who are passionate about harnessing the power of big data. The team fosters a culture of innovation, collaboration, and continuous learning. Together, you will work on exciting projects that drive insights and enhance decision-making capabilities within the organization.
You are Responsible for:
- Designing scalable and efficient big data architectures to support large-scale data processing.
- Leading the development of data ingestion, storage, and processing frameworks.
- Collaborating with data scientists and analysts to ensure data availability and quality for analytical use.
- Implementing best practices for data governance and security across the organization.
- Evaluating and recommending new technologies and tools to enhance data architecture.
To succeed in this role – you should have the following:
- Extensive experience in big data technologies such as Hadoop, Spark, and Kafka.
- Proficiency in data modeling, ETL processes, and data warehousing concepts.
- Strong programming skills in languages such as Java, Python, or Scala.
- Knowledge of cloud platforms and services related to big data (e.g., AWS, Azure, Google Cloud).
- Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.
10 to 20 years
Cloud Data Architect, Big Data Architect
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