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..
What youll do
Being part of Data Engineering means youll be part of a team that focuses on extending our network superiority to enable the continued execution of our digital strategy
With us, youll 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
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
Responsibilities
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 were looking for
Degree level IT qualifications in Software or Systems Engineering.
3- 6 years of experience of building data engineering pipelines on Data Warehousing system.