Data Engineer

Job Title: Data Engineer
Contract Type: Contract
Location: South Australia
Salary: Competitive rates on offer!
Start Date: 2020-02-04
Reference: JO-2002-537684
Contact Name: Calvin Ebenezer
Contact Email:
Job Published: February 04, 2020 19:35

Job Description

Technical Data Engineer 
MS Azure / Data Factory / MS SQL Server / SSIS
12 month contract

Our client is about to embark on a cloud migration project and is seeking a Data Engineer with expertise in MS Azure, Data Factory, MS SQL Server, and SSIS to work as part of a team on a large data warehouse project. 

Project Deliverables:
  • Design data pipeline solutions to ensure availability, security, integrity, scalability, supportability and optimal performance of data assets;
  • Create data models for new data pipeline development and/or changes to existing data pipelines; 
  • Develop, test, document, implement and support data pipeline solutions to acquire data, transform it and prepare it for consumption;
  • Identify data discrepancies and data quality issues, and work to ensure data consistency and integrity;
  • Diagnose and resolve data pipeline performance issues.

Skills and Experience required across the roles:
  • In-depth skills in analytics database platforms, including the Microsoft SQL Server stack and Azure Data Factory.
  • Ability to understand business requirements and translate into technical solutions.
  • Exceptional analytical, conceptual, and problem-solving abilities;
  • Excellent technical architecture and technical support documentation skills.
  • Ability to conduct research into database issues, standards and products as required.
  • Technical expertise in designing, building, installing, configuring and supporting complex data warehouses and data stores.
  • Strong understanding of dimensional and relational database structures, theories, principles, and practices; SQL and new database technologies such as NoSQL and distributed databases.
  • Broad knowledge of data pipeline and data modelling design, including data warehouse and data lake frameworks.
  • Data integration design practices including Extract, Transform, Load (ETL) and ELT.
  • Experience with good data governance and development standards practices
  • Knowledge of data dictionary and data lineage documenting techniques.
  • Demonstrable understanding of application development standards, application development methodology and the software development life cycle. 

For more information on the role and a details job description apply online or call Calvin on 08 82281560.