Data engineer (Azure)

FLINTEX CONSULTING PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading consulting firm in Singapore is seeking a Data Engineer to design and develop data pipelines using Azure and Pyspark, and maintain datalakes. The ideal candidate will possess a Bachelor's degree in Computer Science or Engineering and 2 years of relevant experience. Responsibilities include managing data pipelines and integration to ensure efficient data handling. Candidates should have solid knowledge of Azure Synapse and strong problem-solving skills. This position offers an opportunity for professional growth in a dynamic environment.

Qualifications

• 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development.
• Knowledge of Azure Synapse analytics for pipelines and orchestration.
• Experience in Visualization design with Power BI, including row-level security.

Responsibilities

• Design and develop Pyspark scripts and manage data pipelines.
• Implement and maintain a datalake for data storage.
• Conduct data integration using database joins as required.

Skills

Azure Data engineering

Python

Pyspark

SQL

Datawarehouse

Power BI

Education

Bachelor’s Degree in Computer Science or Engineering

Tools

Azure DevOps

Hadoop

Job description

Data engineer (Azure)

Synapse and Pyspark, Python, Datawarehouse and Azure Data Explorer, Azure Devops

Job Scope

• Design, review and development of Pyspark scripts. Testing, troubleshooting of data pipelines, orchestration
• Implement and maintain datalake
• Establishing connections to source data systems such as on-prem databases, IOT devices, APIs
• Managing the collected data in appropriate storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc. as required by the specific project requirements.
• Design, development of relevant data pipelines using pyspark, copy data activities for batch ingestion
• Performing data integration e.g. using database table joins, or other mechanisms at an appropriate level as required by the analysis requirements of the project
• Deployment of pipeline artifacts from one environment to the other using Azure Devops

Preferred to have Devops expertise

Skills & Experience

• Bachelor’s Degree in Computer Science or Engineering with 2 years of experience in Azure Data engineering, Python, Pyspark or Big Data development
• Sound Knowledge of Azure Synapse analytics for pipelines, orchestration, set up
• 1-2 experience in Visualization design and development with Power BI. Knowledge on row-level security, access control
• Sound experience in SQL, Datawarehouse, data marts, data ingestion with Pyspark and Python
• Expertise in developing and maintaining ETL processing pipelines in cloud-based platforms such as AWS, Azure, etc. (Azure Synapse or data factory preferred)
• Team player with good interpersonal, communication, and problem-solving skills.

Good to have

• Data catalog with Purview enabling effective metadata management, lineage tracking, and data discovery
• Candidates should demonstrate the ability to leverage Purview to ensure data governance, compliance, and efficient data exploration within Azure environments

Others

• Able to work independently on assignment according to agreed schedule without much supervision
• Own assignment and take initiative to resolve issues hind completion of assignment. Proactively reach out for help/guidance whenever required.