Junior Data Engineer

About the Role:

We are looking for a motivated Data Engineer with 2–5 years of experience working on Big Data technologies and Azure-based data solutions. The role involves building and maintaining data pipelines, supporting analytics initiatives, and working across modern cloud data platforms.

Key Responsibilities:

• Develop and maintain data pipelines using Hadoop, Hive, and Apache Spark
• Write efficient and optimised SQL and Python scripts
• Work with Azure Synapse and implement scalable data processing workflows
• Schedule and automate workflows using Control-M or equivalent tools
• Collaborate with senior engineers and analysts to deliver clean, usable datasets
• Support data quality checks, documentation, and troubleshooting of issues

Required Skills (Proficient):

• SQL, Python, Hadoop, Hive, Apache Spark
• Azure Synapse and Azure Fundamentals
• Good understanding of data warehouse and big data concepts

Working Knowledge (Intermediate):

• Control-M / Scheduling tools
• HBase / Phoenix
• Cosmos DB, Kafka / Event Hub
• Azure Data Lake (ADLS)