Big Data Architect

2 months ago

Anywhere in IndiaMultiple Locations DigiMoksha Solutions Full time

Key Skills : Role - Cloudera Data Architect

EXP - 12+ Years

Location - Delhi/Noida

Only Immediate joiners

Skills - Amazon EMR/Databricks/Cloudera CDP, DWH, Big Data, CDP, Cloud migration, RDBMS, Python, JAVA, Hive

Job Description :

Cloudera Data Architect :

Responsibilities :

- Developing and implementing an overall organizational data strategy that is in line with business processes.


- The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.

- Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.

- Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.

- Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.

- Planning and execution of big data solutions using technologies such as Hadoop. In fact, the big data architect roles and responsibilities entail the complete life-cycle management of a Hadoop Solution.

- Defining and managing the flow of data and dissemination of information within the organization.

- Integrating technical functionality, ensuring data accessibility, accuracy, and security.

- Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders.

- Good to have Kafka for any real time data ingestion

Skills Required :

- Total experience of 14+ years in IT/Data Project development, testing, deployed, support etc.

- Strong project experience in DWH, Big Data, CDP, Cloud migration, RDBMS is must.

- Strong project experience with Amazon EMR/Databricks/Cloudera CDP is must.

- 4-5 experience building data pipelines using Hadoop components Sqoop, Hive, Solr, MR, Hive, Spark, Spark SQL, HBase.

- 4-5 years of programming experience in Python/Java/Scala

- Strong experience with REST API development using frameworks

- Micro Services/Web service development experience using Spring framework is highly desirable.

(ref:hirist.tech)

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