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Archiviertes Projekt - Senior Data Engineer (m/f) 390141/9

Dezember 2018

März 2019

D-Frankfurt am Main

nicht angegeben

04.12.2018

390141/9

Projektbeschreibung

Ihre Aufgaben:
Designing the inbound interfaces for Performance Data out of the Investment Management System into the new, strategic data platform
Design Ingestion pipelines, required data mastering, design conceptual and logical data models and design consumption patterns and APIs for the ingested performance data, especially to support rendering of the performance data (attribution and top line performance) for client reporting
Identify the sources of data and choosing the best patterns of transporting the data from (external) sources into the new data storage
Assure the proper patterns will be applied to design the ELT / ETL processes with re-usability and future use in mind, i.e. decoupling source from target (Streams, Kafka Logs, Pub/Sub)
Define the approach for mastering data that will have to be mastered through the Eagle Pace system
Conceptually and logically model the target data model for storing this data on Oracle and/or Hadoop
Together with (consumer) SMEs identify and design access and distribution patterns and APIs for that data for consumption, especially towards reporting requirements
Guide and govern the Engineering teams throughout implementation of requirements
Liaise with Data Analysts to discuss mappings of inbound data into a common semantic form
Work with the Data Governance team to cover full lineage of data flows and use within the system(s) and to consumers

Ihre Qualifikationen:
Experience with Hadoop (Cloudera) / Spark / Hive / Impala, Oracle 11g/12g, Data Pipelines, Pub/Sub and of ELT/ETL processes
Skilled in Data Modelling (conceptual / logical/phyiscal), Data Access (APIs, Streaming)
Ability to identify common patterns and define such patterns for data ingestion and consumption
Experience creating loosely coupled systems and data flow processes
Understanding of Master Data Management concepts and integration into a (data) system landscape
Understanding of event driven / streaming concepts as opposed to batch oriented data flow management
Understanding of end of day data snapshots vs. intraday, near-time data updates and how these live alongside
Asset Management Data background and understanding (e.g. Trading, Accounting (IBOR, ABOR), Performance Measurement, Reporting ...)
Abstract thinking and ability to transform business / data requirements into sound designs
Experience in working in distributed teams (US, EMEA / UK, India) and in an Agile environment (SCRUM)
Open minded, ability to work against tough timelines with huge demand, providing governance into other teams and assuring delivery is according to design


Projektstart: asap
Projektdauer: 3 MM++


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