Senior Data Analytics Architect

2 months ago

Pune, India Tekfortune IT India Pvt Ltd Full time

Title : Senior Data and Analytics Architect

Experience : 12 to 20 years

Work Location : Bangalore, Pune (Onsite)

Notice Period : Immediate to 15 Days Max only

Required Skills (Mandatory): Skills : IOT hub, IAM, Event hub, Data warehouse & storage, MQTT, AMQP, Modbus, Kafka, Databricks, Airflow, Apache Spark, Data and Analytics architecture

Job Summary :

We are seeking a highly experienced and skilled Senior Data and Analytics Architect to join our team. In this role, you will leverage your deep expertise in data architecture and analytics to drive the development and optimization of our data solutions. Your responsibilities will include designing and implementing scalable data architectures, integrating data sources, and utilizing advanced analytics tools and frameworks.

Key Responsibilities :

- Design and implement data and analytics architectures that meet business needs and enhance decision-making capabilities.

- Manage and optimize data warehouses and storage solutions.

- Architect and deploy IoT hub solutions, ensuring robust and scalable integration with various data sources.

- Oversee the implementation of Identity and Access Management (IAM) systems.

- Utilize event hub technologies to manage and process real-time data streams.

- Develop and manage data pipelines using technologies such as Apache Spark, Databricks, and Airflow.

- Implement and maintain messaging protocols like MQTT, AMQP, and Modbus.

- Leverage Kafka for real-time data streaming and processing.

- Collaborate with cross-functional teams to gather requirements, design solutions, and ensure alignment with business objectives.

Required Skills :

- Extensive experience with IoT hub, IAM, and event hub technologies.

- Strong knowledge of data warehousing, data storage solutions, and data architecture.

- Proficiency in messaging protocols such as MQTT, AMQP, and Modbus.

- Experience with Kafka, Databricks, Apache Spark, and Airflow.

- Proven ability to design and implement complex data and analytics Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- 12 to 20 years of relevant experience in data architecture and analytics.

- Strong problem-solving skills and the ability to work independently and collaboratively.

- Excellent communication skills and experience working with stakeholders to deliver high-impact solutions.

(ref:hirist.tech)

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