Data Engineer/Modeller at Billigence, Remote, Jan 2021 Start, £Contract Rate

  • Contract Spy
  • Remote
  • Nov 18, 2020
Duration not stated

Contract Description

Data Engineer/Modeller - Contract

Data Engineer/Modeller


You can be fully remote for this role as long as you have excellent English. 

Start Date - Jan 2021



·         Over 5+ years of strong experience in Data Analyst, Data mining with large data sets of Structured and Unstructured data, Data Acquisition, Data Validation, Data modeling, Data Visualization,

·         Experienced on data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and data mining,  and advanced data processing (preferably with HD Insights)

·         Experienced in Dimensional Data Modeling experience using Data modeling, Relational Data modeling, Star Join Schema/Snowflake modeling, FACT & Dimensions tables, Conceptual, Physical & logical data modeling.

·         Extensively used SQL, Numpy, Pandas, Scikit-learn, Spark, Hive for Data Analysis and Model building.

·         Collaborates with cross-functional team in support of business case development and identifying modeling method (s) to provide business solutions.

·         Interpret problems and provides solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics.

·         Led discussions with users to gather business processes requirements and data requirements to develop a variety of Conceptual, Logical and Physical Data Models.

·         Developed Spark/Scala, Python code in the Hadoop/Hive environment

·         Worked on data pre-processing and cleaning the data to perform feature engineering and performed data imputation techniques for the missing values in the dataset using Python.



Additional relevant experience:

·         Experienced with Integration Services (SSIS), Reporting Service (SSRS) and Analysis Services (SSAS)

·         Utilized Apache Spark with Python to develop and execute Big Data Analytics and Machine learning applications, executed machine Learning use cases under Spark ML and Mllib.

·         Expertise in Normalization to 3NF/De-normalization techniques for optimum performance in relational and dimensional database environments.

·         Extensive experienced on ER Modeling, Dimensional Modeling (StarSchema, SnowflakeSchema) and Data warehousing and OLAP tools.

·         Expertise in data base programming (SQL, PLSQL) XML, DB2, Informix, Teradata, Data base tuning and Query optimization.

·         Expertise in performing data analysis and data profiling using complex SQL on various sources systems including SAP and Teradata.




Database Design Tools and Data Modeling: Fact & Dimensions tables, physical & logical data modeling, Normalization and De-normalization techniques, Kimball.

Databases: SQL Server 2017,

Languages: SQL, Spark, Python.