Vacancy expired!
- Delivering original analysis and insights to case teams, typically owning all or part of an analytics module whilst integrating with a case team
- Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to your module
- Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants; collecting, synthesizing, analysing case team learning & inputs into new best practices and methodologies
- Ensuring proper sign off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing documents
- Developing broad expertise in at least one analytics topic or platform
- Executing analytical approach and creating defined outcome; contributing to approach selection
- Highly skilled and proven work experience with Python on back-end projects, preferably with a good understanding of Lambda Architecture
- Expertise of AWS Cloud (preferred), Azure, GCP
- Experience implementing ETL process(s) across on-premise and cloud architectures
- Strong experience with management of Spark clusters - various implementations of Spark is preferred
- Good working knowledge of Big Data querying tools, such as Hive, Impala, Pig and integrating tools and frameworks required to provide requested capabilities
- Experience with integration of data from multiple data sources
- Experience with NoSQL databases such as HBase, Cassandra, MongoDB
- Knowledge of various ETL techniques and frameworks, such as Flume
- Experience with various messaging systems, such as Kafka or RabbitMQ
- Experience with Big Data ML toolkits, such as Mahout, SparkML or H2O
- Clear, confident communication and a strong in analytical solutioning with hands-on experience in delivery, through the entire life cycle of analytics
- Degree in Computer Science Engineering/Technology (or equivalent)
- At least 2-3 years in a Data Engineering position with consulting experience
Vacancy expired!