We are looking for a Data Engineer to be a part of our #blazeclan Singapore team!
This is an exciting opportunity for a qualified professional with an overall 7+ years of experience to join and add value to one of the Fastest Growing BIC
(Born in the Cloud) company.
We would like to hire enthusiastic people who thrive on taking on challenging roles in order to give them an opportunity to hone new skills and try novel approaches.
As we are growing, we embrace diversity in thought, contribution and are committed to providing an equitable work environment.
Experience: 6+ Years
Location: Singapore
Salary Range: SGD 9000 – SGD 17000
Job Description:
- Experience on Azure Cloud.
- Experience in developing data ingestion, data processing through Data bricks and analytical pipelines for relational databases, NoSQL and data warehouse solutions.
- Strong experience in data curation/aggregation/preparation using Azure Data Lake, Azure Data Factory and distilling data into meaningful insights with hands-on expertise on Azure and Data bricks.
- Designs, modifies, and builds new and scalable data processes.
- Expert in Data Engineering and building data pipelines, implementing Algorithms in a distributed environment.
- Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
- Extensive experience providing practical direction within the Azure Native services.
- Good experience in Spark SQL is preferred with Azure services.
- Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Data bricks Azure Data Catalog, etc.
- Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, SSIS, Event Hub, Kafka, etc.
- Experience in using various File Formats and compression techniques.
- Experience working with Developer tools such as Azure DevOps, GitLab.
- Experience with private and public cloud architectures, pros/cons, and migration considerations.
- Experience developing and deploying ETL solutions on Azure.
- Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
- Experience of working in Agile delivery.
- Proven ability to work creatively and analytically in a problem-solving environment.
- Excellent communication (written and oral) and interpersonal skills.
- Excellent organizational, multi-tasking, and time-management skills.
Requirements
- Sr Azure Data Engineer with strong experience on Azure ADF, Synapse, Python, exposure to Spark
- Strong understanding of Azure DevOps, exposure to Data modelling
We are Great Place to Work certified; looking for technically forward, cloud-savvy professionals.
Join us and commit to work in an ambiance that is free of prejudices.
If you think you could be the perfect fit for us, then take the leap and apply today!
Let us know at: [email protected]
We would love to hear from you!
