equivalent analyst position Proficiency in PL/SQL and an additional object-oriented programming language (Highly desirable) Experience in big data instances such as Cloudera, Azure, Snowflake, etc. Structured thinking with the ability to break down ambiguous problems and propose impactful data modeling designs Ability to roll out analytics dashboards more »
Greater London, England, United Kingdom Hybrid / WFH Options
First Derivative
development and the opportunity to design your own path. We support a variety of external training courses and accreditations such as AWS, GCP, Azure, Cloudera to name a few and are truly passionate about our Mentor Program, through which our senior colleagues generously set aside personal time to coach and more »
Greater London, England, United Kingdom Hybrid / WFH Options
InterEx Group
experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in more »
for existing on-premise service offerings. Part of the role will entail working alongside colleagues to build analytical pipelines for both our on-prem (Cloudera) and Cloud (Azure) platforms. Role Details: Start Date: Immediate Rate: £550 - £575 (inside IR35) Location: Hybrid (2 days on-site in Central London) Clearance: MUST more »
attention to detail, and problem-solving ability to produce high-quality data solutions and products. Experience with analysing very large datasets , ideally using the Cloudera Data Platform. Experience in asset management with strong knowledge of asset management/accounting type data. Well-versed in data modelling, error-handling, version control more »
implement and manage data lake/data warehouse platforms. (Some of the following types of providers: AWS, Microsoft Azure, Google Cloud Platform, Databricks, Snowflake, Cloudera, Spark, MongoDB) Done this at companies using high volumes of data, ideally in retailing. Other sectors where used high volume data would also be relevant more »
