Data Engineer
7 days ago
About the Company:
Green Light is a leading IT services business, renowned for its innovative approach and commitment to excellence. With a diverse customer base across Australia, New Zealand, SE Asia, and Europe, we offer a wide range of IT services in Security, infrastructure, and Systems Integration.
About the Engagement:
We are seeking a highly skilled Data Engineer to join our Sydney delivery team, working on delivering exceptional services to a prominent enterprise end customer. The successful candidate will possess a strong background in data analysis and construction of complex queries.
Key Responsibilities:
- Design and develop data pipelines using Azure Databricks for ingestion, curation, enrichment, and transformation of data.
- Transformation of data – SQL, Spark, and DataBricks.
- Data modelling predominately with Power BI.
- Work closely with project stakeholders to understand data needs.
- Develop and implement data quality checks and ensure data integrity throughout the processing pipeline within Databricks.
- Define, produce, and implement data strategy across data from various data sources.
- Design effective solutions to process very large volumes of data within acceptable SLA timeframe.
- Complete Data Analysis and data modelling to build data models and physical data models for the designed solution – align with architecture framework.
- Conduct Data Governance.
- Fully utilize knowledge of Azure services like Azure Data Lake Storage and Azure Data Factory to optimize data storage, access, and orchestration within the data platform.
Requirements:
- Strong data modelling & analysis, data migration strategy, data alignment across multiple applications, heterogeneous data identification, data masking/transformation & data mining.
- Proven experience in designing and developing data pipelines using Databricks / Spark / Python.
- Strong proven experience in building data models.
- Strong hands-on experience doing data analysis using different formats.
- Strong understanding of database concepts such as referential integrity and data alignment, table partitions, data import-export mechanisms, data transfer and transformation mechanisms, data encryption / decryption & cleansing / harmonization.
- Strong understanding of table structures, schema, users, and grants.
- Strong skills in designing optimized solutions to process TBs of data.
- Knowledge of query optimization techniques.
- Good knowledge of Microsoft Azure cloud platform and broader Databricks ecosystem (Azure Data Lake Storage, Azure Data Factory, Databricks workflow, Unity Catalog, etc.).
- Strong business knowledge and quantitative modelling capabilities.
- Must have a strong aptitude for careful and considered impact analysis, risk assessment, change management, and planning of recovery options.
Culture:
Innovative and continually improving enterprise environment.
Collaborative work environment.
Benefits:
Attractive working environment – emphasis on training and flexibility.
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