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Sr. Data Analytics Engineer
4 months ago
Job Title: Sr. Data Analytics Engineer Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below. Location: Cheshire, United Kingdom Work Mode: Hybrid Package: Competitive + Benefits Start Date: ASAP Permanent Role: Yes Responsibilities:
- Help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift
- Deliver on-site technical engagements with customers. This includes understanding customer requirements, and creating packaged Data & Analytics service offerings
- Proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services
- Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
- Advance of experience of IT platform implementation in a technical and analytical role
- Advance experience of Data Lake/Hadoop platform implementation
- Good level of hands-on experience in implementation and performance tuning Hadoop/Spark implementations
- Experience Apache Hadoop and the Hadoop ecosystem
- Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, Hcatalog, Solr, Avro)
- Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)
- Experience developing software code in one or more programming languages (Java, Python, etc.)
- Masters or PhD in Computer Science, Physics, Engineering or Maths
- Hands on experience leading large-scale global data warehousing and analytics projects
- Ability to think strategically about business, product, and technical challenges in an enterprise environment
- Ability to collaborate effectively across organizations
- Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development
- Demonstrated industry efficiency in the fields of database, data warehousing or data sciences
- Implementing AWS services in a variety of distributed computing, enterprise environments
- Customer facing well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
- Desire and ability to interact with different levels of the organization from development to C-Level executives.
- AWS Data Analytics, OR
- AWS Solution Architect, OR
- AWS Security.