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Cloudera
India · remote · Salary not listed
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
Cloudera is seeking a SeniorSolutions Architect to join its APAC Professional Services team. In this role you’ll have the opportunity to develop massively scalable solutions to solve complex data problems using Hadoop, NiFi, Spark and related Big Data technology. This role is a client facing opportunity that combines consulting skills with deep technical design and development in the Big Data space. This role will present the successful candidate the opportunity to travel across Asia Pacific and across multiple industries and large customer organisations.
Work directly with customer business and technical teams to understand requirements and develop high quality solutions
Design highly scalable and reliable data pipelines to consume, integrate, and analyze large amounts of data from various sources.
Able to understand big data use-cases and recommend standard design, implementation patterns used in Hadoop-based deployments
Able to document and present complex architectures for the customer’s technical teams
Work closely with Cloudera teams at all levels to ensure project and customer success
Design effective data models for optimal storage and retrieval, deploy inclusive data quality checks to ensure high quality of data
Apply on source siteListed via Himalayas
Install, deploy, augment, upgrade, manage and operate large Hadoop clusters
Write and produce technical documentation, customer status reports and knowledge-base articles
Keep up with current Hadoop, NiFi, Big Data ecosystem / technologies.
Overall 12+ years IT experience, with at least 4+ years of production experience working with Hadoop and/or NiFi, data engineering.
Hands-on experience with all aspects of developing, testing and implementing low-latency big data pipelines.
Demonstrated production experience in data engineering, data management, cluster management and/or analytics domains.
Experience designing data queries against data in the HDFS environment using tools such as Apache Hive
Experience implementing MapReduce, Spark jobs
Experience setting up multi-node Hadoop clusters
Experience in systems administration or DevOps experience with one or more open-source operating systems [Big Data Developers interested in Administration and consulting can also apply]
Experience with Data Warehouse design, ETL (Extraction, Transformation & Load), architecting efficient software designs for DW platform.
Experience implementing operational best practices such as alerting, monitoring, and metadata management.
Strong understanding with various enterprise security practices and solutions such as LDAP and/or Kerberos
Experience using configuration management tools such as Ansible, Puppet or Chef
Familiarity with scripting tools such as bash shell scripts, Python and/or Perl
Significant previous work writing to network-based APIs, preferably REST/JSON or XML/SOAP
Understanding of the Java ecosystem and enterprise offerings, including debugging and profiling tools (e.g. jstack, jmap, jconsole), logging and monitoring tools (log4j, JMX)
Ability to understand and translate customer requirements into technical requirements
Excellent verbal and written communications
Site Reliability Engineering concepts and practices
Knowledge of the data management eco-system including: Concepts of data warehousing, ETL, data integration, etc.
Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc)
Experience coding with streaming/micro-batch compute frameworks, preferably Kafka, Spark
Support work life balance with Unplugged Days
Phone and Internet Reimbursement program
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Originally posted on Himalayas