Senior Cloudera Data Engineer — Scalable Cloud Pipelines

7500 PT Accenture Company; Kota Semarang; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

Accenture is seeking a Data Engineer to design and develop scalable data pipelines using Cloudera Data Platform services such as Apache Spark, Hadoop, and Kafka. You will ensure data quality, optimize workflows, and implement robust ETL processes to move data across systems.

Collaboration with analytics teams to resolve data issues is key. The role requires strong fundamentals in data modeling, ETL, and data warehousing, with experience in Python or Java and cloud platforms like AWS, Azure, or

Qualifications

• Solid understanding of data modeling and ETL processes.
• Data warehousing concepts knowledge.
• Experience with data quality, validation and monitoring.

Responsibilities

• Design and maintain scalable data pipelines.
• Ensure data quality and integrity across pipelines.
• Optimize workflows for performance and cost.
• Implement ETL processes between systems.
• Troubleshoot data-related issues for analytics teams.

Skills

Cloudera Data Platform

Data Engineering Fundamentals

Python

Java

Cloud Technologies

Tools

Apache Spark

Hadoop

Kafka

Job description

Accenture is seeking a Data Engineer to design and develop scalable data pipelines using Cloudera Data Platform services such as Apache Spark, Hadoop, and Kafka. You will ensure data quality, optimize workflows, and implement robust ETL processes to move data across systems.

Collaboration with analytics teams to resolve data issues is key. The role requires strong fundamentals in data modeling, ETL, and data warehousing, with experience in Python or Java and cloud platforms like AWS, Azure, or