Director of Solutions Engineering leading and mentoring a team at Berkshire Grey, focusing on designing automation solutions in retail and logistics.
About the role
- Senior Solutions Architect developing scalable solutions using Hadoop and related technologies at Cloudera. Collaborating with APAC Professional Services team and customer technical teams.
Responsibilities
- 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 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
- Design, build, tune and maintain data pipelines using Hadoop, NiFi or related data integration technologies
- 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.
Requirements
- Overall 12+ years IT experience
- At least 4+ years of production experience working with Hadoop and/or NiFi, data engineering
- Hands-on experience with 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 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
- Experience with Data Warehouse design, ETL, 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
- Strong understanding of the Java ecosystem and enterprise offerings
- Excellent verbal and written communications
Benefits
- Generous PTO Policy
- Support work life balance with Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement program
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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