The role involves developing and managing data pipelines, data validation, and collaboration with stakeholders to provide technical solutions.
Description and Requirements
We are seeking a skilled and experienced Azure Data Factory/ Synapse Engineer with expertise in SQL and Pipelines to join our dynamic team. As an Azure Data Engineer, you will be responsible for developing and implementing dynamic pipelines for data integration platform.
• Interact with the stakeholders/ data engineering manager to understand the ad-hoc and strategic data / project requirements and provide logical and long-term technical solutions.
• Work independently on basic to intermediate level data extraction, validation, and manipulation assignments using SQL, Python and ADF/Synapse.
• Work on maintaining and supporting the day-to-day operations revolving around DW management, cleanups on Azure Cloud platform.
• Write SQL scripts to update, verify the data loads and perform data validations.
• Using Git, GitHub to log the development work and manage deployments
Effectively manage the evolving priorities and maintain clear communication with the stakeholders and/or Data Engineering Manager involved.
About MetLife
Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we're inspired to transform the next century in financial services.
At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
We are seeking a skilled and experienced Azure Data Factory/ Synapse Engineer with expertise in SQL and Pipelines to join our dynamic team. As an Azure Data Engineer, you will be responsible for developing and implementing dynamic pipelines for data integration platform.
• Interact with the stakeholders/ data engineering manager to understand the ad-hoc and strategic data / project requirements and provide logical and long-term technical solutions.
• Work independently on basic to intermediate level data extraction, validation, and manipulation assignments using SQL, Python and ADF/Synapse.
• Work on maintaining and supporting the day-to-day operations revolving around DW management, cleanups on Azure Cloud platform.
• Write SQL scripts to update, verify the data loads and perform data validations.
• Using Git, GitHub to log the development work and manage deployments
Effectively manage the evolving priorities and maintain clear communication with the stakeholders and/or Data Engineering Manager involved.
About MetLife
Recognized on Fortune magazine's list of the 2025 "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™ for 2024, MetLife , through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by empathy, we're inspired to transform the next century in financial services.
At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Top Skills
Azure Data Factory
Git
Git
Python
SQL
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Associate Consultant will analyze and generate reports, collect data from global offices, manage client portfolios, and ensure reporting deadlines are met.
Top Skills:
AnalyticsFinancial AnalysisReporting
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Responsible for generating and analyzing reports, managing documentation for clients, and collaborating with local teams to streamline financial information reporting and enhance report quality.
Top Skills:
Analytics
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Analyze data from Salesforce to enhance customer service operations, develop dashboards, perform root cause analysis, and ensure data accuracy.
Top Skills:
Data Analysis TechniquesSalesforce
What you need to know about the Melbourne Tech Scene
Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
