Azure data engineer

9 hours ago

Delhi, India Maltem Australia Full time
About Maltem Australia
Maltem Australia is a global boutique data and analytics consulting firm specialising in supporting organisations in designing and delivering enterprise data platforms and advanced analytics solutions. With strong expertise in building robust data architectures and leveraging cutting-edge technologies, we help businesses harness the full potential of their data.
By implementing scalable and efficient data solutions, we enable our clients to derive meaningful insights, make data-driven decisions, and gain a competitive advantage.
Maltem Australia operates in Sydney, Melbourne, and Brisbane, serving over 25 clients across various industries.
Position Overview
We are looking for experienced Data Engineers to join our growing team at Maltem. In this role, you’ll play a key part in designing, building, and maintaining high-quality data pipelines and solutions that support our clients’ global operations. You will focus on delivering robust, efficient, and scalable data infrastructure to help our clients achieve their business goals.
Key Responsibilities
1. Development & Implementation
Design, develop, and maintain end-to-end ETL/ELT pipelines.
Implement scalable data transformation workflows and testing frameworks.
Build frameworks for data migration , integration patterns, and performance optimisation.
Maintain and update technical documentation.
2. Platform Support
Work across leading data platforms, including:
Azure Data Factory : Build pipelines, create data flows, optimise transformations, and ensure seamless integration.
Azure Synapse Analytics : Develop, tune, and manage large-scale data solutions.
MS Fabric : Develop pipelines, manage integration flows, and optimise transformation logic.
Apache Spark
3. Quality & Testing
Implement and monitor data quality checks to ensure reliable and accurate data delivery.
Develop and maintain unit tests and perform integration testing.
Debug and resolve technical issues in data pipelines and workflows.
Technical Skills
Python : Proficiency in data processing and ETL frameworks (Intermediate to Advanced).
SQL : Advanced query optimization and database management.
ETL/ELT Development : Designing, implementing, and maintaining pipelines.
Data Modeling : Strong understanding of schema design and transformation logic.
Testing Frameworks : Experience in unit and integration testing.
Version Control : Proficiency in Git.
Desired Skills
Expertise with Azure Data Factory or similar tools.
Experience with Apache Spark for large-scale data processing.
Familiarity with other cloud platforms and ETL/ELT tools is a plus.
Experience & Education
3+ years of data engineering experience.
Hands-on experience with cloud platforms (Azure, Google Cloud).
Bachelor’s degree in a relevant field (preferred).
Industry experience in retail or similar sectors is a bonus.
Working Environment
Location : India working remotly for Australia, Australian Eastern Standard Time (AEST).

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