Azure Data Engineer - Synapse, PySpark & Power BI

Flintex Consulting Pte Ltd

Singapore

On-site

SGD 45,000 - 50,000

Full time

14 days+

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Job summary

Flintex Consulting Pte Ltd is seeking a data engineer (Azure) to design and implement PySpark data pipelines, establish data connections and manage data across storage and data warehouse environments in Singapore. The role emphasizes Azure Synapse, Power BI reporting, and DevOps practices, with on-site hours 8:30am–6pm, Monday to Friday, and a focus on collaboration and reliable data delivery.

You will work with on-prem and cloud data sources, build scalable pipelines, ensure data quality,

Qualifications

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 years experience in Visualization design and development with Power BI and knowledge on row-level security.
Sound experience in SQL, Datawarehouse, data marts, data ingestion with PySpark and Python.

Responsibilities

Design, review and development of PySpark scripts. Testing, troubleshooting of data pipelines, orchestration.
Designing and developing reports and dashboards in PowerBI, setting up access control with row level security DAX query experience.
Establishing connections to source data systems such as on-prem databases, IoT devices, APIs.
Managing the collected data in storage/data-base solutions e.g. file systems, SQL servers, Big Data platforms such as Hadoop, HANA, etc.
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.
Deployment of pipeline artifacts from one environment to the other using Azure Devops.