Our Client In The Technology And Data Solutions Industry Is Seeking To Appoint A Senior Data Engineer To Oversee Cloud Data Infrastructure Across Azure And Aws. The Incumbent Must Have Extensive Experience In Data Engineering, Data Modeling, And Business Intelligence, With Proven Ability To Design Scalable Data Pipelines, Manage Enterprise Data Warehouses, And Deliver Actionable Insights Through Power Bi. The Ideal Candidate Will Demonstrate Strong Leadership, Advanced Technical Expertise, And The Ability To Collaborate Across Diverse Teams To Drive Business Value. Applicants Must Have a Minimum Of Seven Years’ Experience In a Similar Position.
Duties And Responsibilities:
Designing, Developing, And Optimizing Scalable, Reusable Data Pipelines For Batch And Real-Time Processing.
Building And Maintaining Etl/Elt Processes Across Oltp, Olap, And Data Lake Architectures.
Developing And Maintaining Data Models To Ensure Integrity, Consistency, And High Performance.
Assembling Large, Complex Datasets That Meet Business Requirements.
Implementing Enterprise-Wide Data Governance And Defining Data Quality Standards.
Designing And Delivering Robust Power Bi Solutions, Including Semantic Models, Dax Measures, And Interactive Dashboards.
Conducting Root Cause Analysis On Data Inconsistencies And Recommending Improvements.
Optimizing Data Storage, Query Performance, And Cost Efficiency In Azure Synapse, Redshift, Athena, And Microsoft Fabric.
Implementing Security Best Practices For Data Privacy, Encryption, And Compliance.
Collaborating With Data Architects, Analysts, And Scientists To Support Ai/Ml Initiatives.
Mentoring Junior Engineers And Advocating For Data Best Practices.
Experience And Qualifications:
Degree In Computer Science, Information Systems, Or Related Field.
Minimum Of 7 Years’ Experience In Data Engineering, Data Modeling, And Architecture.
Expertise In Sql With Hands-On Experience In Postgresql, Oracle, And Microsoft Fabric.
Proven Experience Building Data Pipelines And Etl/Elt Workflows Using Azure Data Factory, Aws Glue, And Stream-Processing Tools.
Strong Understanding Of Olap Vs. Oltp Modeling, Data Warehousing Concepts, And Real-Time Ingestion Strategies.
Hands-On Experience With Azure (Fabric, Synapse, Data Lake) And Aws (Rds Postgresql, Redshift, S3, Athena, Kinesis).
Proficiency In Power Bi, Including Data Modeling, Dax, Power Query, And Dashboard Development.
Knowledge Of Data Governance Principles, Security Best Practices, And Compliance Requirements.
Preferred Skills Include Python, Spark, Java, Docker, Git, Kafka, And Experience With Ai/Ml Pipelines.