- We are looking for a Data Engineer for Data Warehouse with good amount of experience on Informatica / Azure AWS Cloud Environment.
- The primary focus will be on translating business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.
- Ensure that industry-accepted data architecture principles and standards are integrated and followed for modeling, stored procedures, replication, regulations, and security, among other concepts, to meet technical and business goals.
- Certified Azure data engineer with extensive knowledge on relational databases.
- 10+ years of experience with deep knowledge of SQL scripting.
- Expert knowledge in Data Modeling and Data Warehousing concepts.
- Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio).
- Exposure to Informatica and Azure services.
- Experience in code management with Git and Bit-Bucket.
- Know how to work with Git and GitFlow.
- Exposure to working with Analytics and Data Scientist is a plus.
- Strong interpersonal skills.
- Experience with team management.
- Excellent communication and presentation skills.
- Advanced troubleshooting skills.
- End-to-End project execution,requirement gathering, transforming legacy design to Cloud eco system.
- Development, Testing, UAT Support and GO Live support.
- Azure Stack, Informatica.
- Modeling Tools – ER/Studio 16.x, SQL Power Architect.
- Databases – Oracle 10g/11g, SQL Server, Teradata.
- ETL/BI Tools - QlikView, QuickSight, Power BI.
- Scripts/Languages - Python, SQL/PLSQL, T-SQL, Unix Shell Script.
- Dev-ops tools: - JIRA, GIT, Bitbucket, Bamboo, Jenkins, Confluence.
- Analyzing and translating business needs into long-term solution data models.
- Evaluating existing data systems.
- Working with the development team to create conceptual data models and data flows.
- Develop diagrams representing key data entities and their relationships.
- Developing best practices for data coding to ensure consistency within the system.
- Reviewing modifications of existing systems for cross-compatibility.
- Implementing data strategies and developing physical data models.
- Updating and optimizing local and metadata models.
- Evaluating implemented data systems for variances, discrepancies, and efficiency.
- Troubleshooting and optimizing data systems.
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Data Engineer - Melbourne, Australia - COGNIZANT
Description
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses.Learn how Cognizant helps clients lead with digital at or follow us @Cognizant
Position Summary:
Mandatory Skills:.
Duties and Responsibilities:
Salary Range : >$100,000
Next steps :
If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you Please apply directly with us.
For a complete list of open opportunities with Cognizant, visit is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.
About Cognizant
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Learn how Cognizant helps clients lead with digital at or follow us @Cognizant.