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Senior Data Engineer(AWS and Azure) at Unison Group

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Pipelines, ETL Processes, AWS, Azure, S3, Redshift, Glue, Lambda, Azure Data Factory, Azure Synapse, Data Lake, SQL, Python, PySpark, Data Warehousing, Spark

Industry

Business Consulting and Services

Description

We are looking for a skilled Data Engineer with strong experience in cloud platforms like Amazon Web Services and Microsoft Azure. The candidate will be responsible for building scalable data pipelines, managing large datasets, and supporting analytics and reporting systems. 🔧 Key Responsibilities Design and develop data pipelines and ETL processes Work with cloud-based data platforms (AWS & Azure) Build and maintain data lakes and data warehouses Ensure data quality, integrity, and performance Collaborate with data analysts, data scientists, and developers Perform data migration and transformation tasks Monitor and troubleshoot data pipeline issues 🧠 Required Skills Hands-on experience in Amazon Web Services (S3, Redshift, Glue, Lambda) Experience with Microsoft Azure (Azure Data Factory, Azure Synapse, Data Lake) Strong knowledge of SQL and ETL concepts Experience with Python / PySpark Knowledge of data warehousing concepts Understanding of big data tools (Spark, Hadoop)

Responsibilities

The role involves designing and developing scalable data pipelines and ETL processes, working extensively with cloud-based data platforms like AWS and Azure. The engineer will also be responsible for building and maintaining data lakes and warehouses while ensuring data quality and performance.