Senior Azure Data Engineer
2 weeks ago
Job Summary
As a Data Management - Senior Specialist, you are the go-to person for developing and implementing effective data management strategies which maximise business and customer outcomes. You play a key role as steward of strong governance, architecture and data exchange to ensure that data is accessible, better understood, managed and organised across Telstra.Job DescriptionAbout Telstra
We're Australia's leading telecommunications and technology company. And with a global presence in more than 22 countries, we have a strong global footprint. Our purpose is to build a connected future so everyone can thrive. We're all about providing the best experience and delivering the best tech on the best network. This includes making Telstra the place you want to work.
We offer a full range of services and compete in all telecommunications markets throughout Australia and are the most well-known brand in technology and communications industry.
We have operations in more than 20 countries, including in India. In India we are a licensed Telecom Service provider (TSP) and have extended our global networks into India with offices in Bangalore, Mumbai and Delhi. We’ve opened an Innovation and Capability Centre (ICC) in Bangalore and have a presence in Pune and Hyderabad. In India, we’ve set out to build a platform for innovative delivery and engagement that will strengthen our position as an industry leader. We’re combining innovation, automation and technology to solve the world’s biggest technological challenges in areas such as Internet of Things (IoT), 5G, Artificial Intelligence (AI), Machine Learning, and more.
Here’s what you can expect from us
• Flexible working. Choose when and how you work so you can be at your best.
• Pay for performance. We recognize outstanding contributions through our competitive incentive programs.
• Maternity Leave. Up to 26 weeks provided to the birth mother with benefits for all child births.
• Insurance benefits. Receive generous insurance benefits such as medical, accidental and life insurance.
• Unlimited learning. Level up your skills with access to 17,000 learning programs. Learn ‘on the job’ and achieve university credits towards degrees and master’s programs.
• Global presence. With a global presence across 22 countries, there are many opportunities to work where we do business.
Function overview
Make a difference as part of Product and Technology, your mission will be simple: capture market value at scale by building products our customers love that are simple to experience, seamless to deliver, and are profitable to the core.
What you'll do
Being part of Data Engineering means you'll be part of a team that focuses on extending our network superiority to enable the continued execution of our digital strategy. With us, you'll be working with world-leading technology and change the way we do IT to ensure business needs drive priorities, accelerating our digitization program.
We are seeking a highly skilled Data Engineer with expertise in SQL and data warehousing. The successful candidate will be responsible for designing, developing, and maintaining data warehousing solutions on Cloud Data Platforms, as well as building and optimizing data pipelines using SQL and related technologies. Any new engineer would be mostly into developing reusable data processing and storage frameworks that can be used across data platform. …
Role context
(Describe the business/role fit)
Data Warehouse Engineer role is to coordinate, and execute all activities related to the requirements interpretation, design, and implementation of Data Analytics applications. This individual will apply proven industry and technology experience as well as communication skills, problem-solving skills, and knowledge of best practices to issues related to design, development, and deployment of mission-critical systems with a focus on quality application development and delivery.
This role is key to the success of the Data Engineering capability at Telstra and will be responsible and accountable for the following:
Responsibilities
(Key requirements of the role)
• Design, develop, and maintain data warehousing solutions on Azure and AWS platforms.
• Build and optimize data pipelines using SQL and related technologies.
• Develop and maintain data models and schemas to support business requirements.
• Implement data security and privacy best practices to protect sensitive data.
• Collaborate with data scientists and business stakeholders to understand data needs and requirements.
• Ability to work in Agile Feature teams
• Develop and maintain documentation on data warehouse architecture, data models, and data pipelines.
• Monitor and troubleshoot data warehousing solutions to ensure they are performing optimally.
• Stay up-to-date with the latest developments in Azure and AWS data warehousing technologies and apply them to solve business problems.
• Provide training and educate other team members around core capabilities and helps them deliver high quality solutions and deliverables/documentation
• Self-Motivator to perform Design / Develop user requirements, test and deploy the changes into production
What you need to succeed...
• Experience with enterprise data management, Datawarehouse, data modelling, Business Intelligence, data integration.
• Expertise in SQL and stored procedure.
• Experience of using Orchestration tools like Control-m, Azure Data Factory, Airflow to schedule jobs.
• Experience in working on Azure SQL Data warehouse (Synapse) and Azure analysis service or Redshift or Synapse
• Good knowledge of NoSQL Databases/ HBase/ MongoDB.
• Strong experience in data modelling, schema design, and ETL development using SQL and related technologies
• Familiarity with data security and privacy best practices
• Good exposure on TDD
• Exposure on using CI tools like Git, Bitbucket, GitHub, Gitlab, Azure DevOps
• Exposure on using CD tools like Jenkins, Bamboo, Azure DevOps
• Exposure on Observability tools like Azure Monitor, Graphene etc
Who we're looking for.
(Skills & attributes of the ideal candidate)
- Degree level IT qualifications in Software or Systems Engineering.
- 8- 15years of experience of building data engineering pipelines on Data Warehousing system.
- SQL Advance level Mandatory.
- Py Spark /Python programming
- Azure Data factory
- Azure Synapse
- Azure Databriks
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