Azure Data Engineer

3 days 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 OverviewWe 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 Responsibilities1. Development & ImplementationDesign, 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 SupportWork 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 & TestingImplement 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 SkillsPython : 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 SkillsExpertise 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 & Education3+ 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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