24 Vyom Labs Jobs

Responsibilities :

- Evangelize, motivate, and enable our customers on their Enterprise Data Cloud journey

- Participate in the pre and post sales process, helping both the sales, professional services management and product teams to interpret customer use cases

- Use your deep domain, wide technical and business knowledge to assist customers in defining their data strategy, use case success criteria and frameworks to deliver successful implementations

- Design and Implement Enterprise Data Cloud architectures and configurations for customers

- Identify and grow professional services engagements and support subscriptions through the clear demonstration of the value we bring to our customers

- Design, create and recommend standard best practices design patterns for distributed data pipelines and analytical computing architectures

- Plan and deliver presentations and workshops to customer/internal stakeholders

- Write and produce technical documentation, blogs, and knowledge base articles

Skills and Experience :

- Extensive customer facing/consulting experience interacting with large scale distributed data/computing solutions

- A strong business understanding of how Cloudera technologies solve real world business problems

- Appreciation of the commercial business cases that drive customer data platform initiatives

- Experience managing project delivery and leading a technical team

- Strong experience designing, architecting, and implementing software solutions in an enterprise Linux environment, including solid foundation in OS / networking fundamentals

- Strong experience with Hadoop or related technologies including deployment & administration

- Excellent communication skills, experience with public speaking and able to present to a wide range of audiences

- Proven knowledge of big data/analytical use cases and best practice approaches to implement solutions to them

- Strong experience with Cloud Platforms (i.e. AWS, Azure, Google Cloud)

- Experience with open-source ecosystem programming languages (i.e. Python, Java, Scala, Spark etc.)

- Knowledge of the data management ecosystem including Concepts of data warehousing, ETL, data integration, etc.

- Experience designing frameworks for implementing data transformation and processing solutions on Hadoop or related technologies (i.e. HDFS, HIVE, Impala, HBase, NiFi etc.)

- Strong understanding of authentication (i.e. LDAP , Active Directory, SAML, Kerberos etc.) & authorization confi guration for Hadoop based distributed systems

- Deep knowledge of the Data/Big Data business domain

- Familiarity with BI tools and Data Science notebooks such as Cloudera Data Science Workbench, Apache Zeppelin, Jupyter, IBM Watson Studio etc.

- Knowledge of scripting tools such as bash shell scripts, Python or Perl

- Familiarity of DevOps methodology & toolsets and automation experience with Chef, Puppet, Ansible or Jenkins