Senior Engineer - Backend data

About this role

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Skills you'll use

What you'll do

• As a Senior Data Engineer, you will play a key role in designing, developing, and optimizing large-scale data platforms and pipelines that support critical business and analytical use cases. You will work across the full data lifecycle, from data ingestion and transformation to storage, processing, quality, and consumption.
• You will apply strong expertise in Big Data, Apache Spark, Scala, and Google BigQuery to build high-performance, scalable, and reliable data solutions. You will work closely with engineers, architects, product teams, data scientists, and business partners to translate complex requirements into robust technical solutions.
• The ideal candidate combines strong data engineering fundamentals with a passion for solving complex problems, optimizing large-scale workloads, and continuously learning emerging technologies. Experience with Java/Spring Boot and exposure to AI-assisted engineering tools such as GitHub Copilot and Claude will be an added advantage.

Who can apply

• Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
• 5+ years of experience in software or data engineering, with significant experience building and supporting large-scale data platforms.
• Strong hands-on experience with:
• Big Data / Distributed Processing
• Data Warehousing
• Strong SQL skills and experience working with large and complex datasets.
• Experience designing and optimizing data pipelines for high-volume, high-performance processing.
• Strong understanding of distributed computing concepts, data partitioning, joins, aggregation, scalability, and performance optimization.
• Experience with cloud-based data platforms, preferably Google Cloud Platform (GCP).
• Good understanding of data modeling, including fact/dimension models and analytical data structures.

About Target

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