
Data Lead
3 days ago
**Duties & Responsibilities**:
- Consult, design and build high quality data lake solutions for customers and internal teams
- Design highly scalable and reliable data pipelines to consume, integrate, and analyse large amounts of data from various data sources
- Perform data engineering to extract, transform, load for data science analysis
- Create technical documentation for deployed systems
- Carry out technical enablement for junior team members and sales
- Identity, evaluate and recommend new technologies that would be relevant to big data analytics
**Requirements**:
- Overall 8+ 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
- Demonstrate production experience in data engineering, data management and/or cluster management
- Experience designing data queries against data in the HDFS environment using tools such as Apache Hive
- Experience in 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 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
- Experience with Apache NiFi is desired
- Experience with writing to network-based APIs, preferably REST/JSON
- Knowledge on Isilon storage, S3 file systems is added advantage
- Ability to understand and translate customer requirements into technical requirements
- Excellent verbal and written communications
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