Architect of Large-Scale Data Solutions
2 weeks ago
Data Engineering Expertise
We are seeking a seasoned Senior Network Consultants to lead our data engineering efforts.
As a key member of our team, you will leverage your expertise in architecting, designing, and implementing large-scale Cloudera/Hortonworks Data Platform solutions.
Your strong business acumen and technical skills will enable you to translate business requirements into technical solutions, driving the delivery of high-quality data analytics services.
Responsibilities include:
- Architecting and implementing large-scale data pipelines for complex data sets
- Designing and developing scalable and resilient data platforms using Big Data and NoSQL technologies
- Leading interdisciplinary teams in the delivery of enterprise-level data analytics solutions
- Developing and maintaining relationships with principal vendors to ensure price guarantees and other enablement benefits
- Mentoring junior team members to upskill and enhance their data engineering skills
Requirements
We require:
- More than 2 years of experience in architecting, designing, and implementing large-scale Cloudera/Hortonworks Data Platform solutions
- At least 5 years of experience leading or managing teams of 5 or more IT professionals
- Proven track record of implementing large-scale Hadoop clusters with a total volume of over 100TB and daily volume of 5GB or more
- Certification and experience in implementing 3 or more of the following services in the Hadoop ecosystem: HBase, Apache Kafka, Knife, Spark, Atlas, Ambari/Cloudera Manager, Ranger, Data Flow Studio, or Cloudera Data Science Workbench
- Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, and Apache Knife
Preferred Qualifications
We welcome applications from candidates with experience in:
- Data governance and metadata management
- Large-scale data loading and movement from source systems to new applications or data analytics solutions
- Cloud-based data analytics platforms such as AWS, Azure, or GCP
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