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Senior Data Engineer

Job Title: Senior Data Engineer
Contract Type: Permanent
Location: Perth
Industry:
Reference: 479078BR
Contact Name: Das, Rajib
Job Published: November 04, 2021 11:41

Job Description

At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.

Your Role and Responsibilities
The Data Engineer is responsible for developing, testing, supporting and administration of data integration/ETL solutions. As a Data Engineer – Data Integration, your responsibilities include –

  • Develop, test and support future-ready data solutions for customers across industry verticals
  • Develop, test and support end-to-end batch and near real-time data flows/pipelines in data integration/ETL tools
  • Demonstrate understanding in data architectures, modern data platforms, big data, ML/AI, analytics, cloud platforms, data governance and information management and associated technologies
  • Develop and demonstrate Proof of Concepts and Working Demos
  • Lead or collaborate with other internal/external consultants in consulting, workshops and delivery engagements

Required Skills

  • Informatica Power Centre 10.1 or higher – extensive experience
  • Informatica Intelligent Cloud Services (IICS) – knowledge or higher
  • SQL – Oracle rather than Transact-SQL
  • Design, development, implementation of PL/SQL packages
  • Proven Database design modelling – Kimball Dimensional & Data Vault
  • Lead design using client design patterns – SCD Type 1 vs SCD Type 2

Desired Skills:

  • Knowledge of SAP PowerDesigner for creation of logical, physical, & conceptual data models
  • Informatica Intelligent Cloud Services (IICS) – knowledge or higher
  • Use of Reporting tools – Cognos, Power BI, QlikSense
  • Snowflake – experience or high-product awareness
  • Microsoft Azure stack – Databricks, SQL Server, Synapse

General Skills:

  • Extensive experience with data lifecycle – OLTP(Transactions) to OLAP(Reporting) to Cloud(Analytics)
  • Experience working in large, enterprise-wide environments with large and complex data sets
  • Ability to convert Solution Architecture requirements into an end-to-end data solution
  • Ability to work on multiple projects concurrently
  • Contribute to the IBM leadership team to assist with strategic & tactical planning for the delivery of ETL services
  • Experience with delivering analytics/data-based projects end to end
  • Proven ability to lead teams to implement industry best-practice data governance & quality standards

Preferred Qualifications

  • Certification in one or more of the following: Azure Data Engineer, AWS, IBM Cloud, Snowflake, Informatica

Being You @ IBM

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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