In-Demand Snowflake data engineer Jobs

Data Engineer – AWS & Snowflake
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- Full-time
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- SQL
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- Full-time
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- SQL
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- Work from home
- Free food
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Data Engineering Manager (Snowflake/Databricks) | Sydney
Deloitte —Sydney NSW
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- $95,000 - $115,000 a year
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Duxxel Pty Ltd —Sydney NSW
- From $120,000 a year
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Fortescue —Perth WA
- Monday to Friday
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Deloitte —Sydney NSW
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NCS Australia —Sydney NSW
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Blinq —Melbourne VIC
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EPAM Systems, Inc. —Melbourne VIC
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Scape Australia —Sydney NSW
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- Full-time
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- Leadership
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Data Engineering Lead
Infosys —Melbourne VIC
- $129,311 - $142,018 a year
- Azure
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- AI
- Health insurance
- Parental leave
6d
Principal Platform Engineer
Commonwealth Bank —Melbourne VIC
- Full-time
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BHP —Western Australia
- Azure
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7d

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Data Engineer – AWS & Snowflake

Nixil
Melbourne VIC

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Job Details

Full-time
10 hours ago

Qualifications

CI/CD
Power BI
Data modelling
Management
HDFS
Encryption
AWS Certification
Test automation
Git
Apache Hive
Databases
SQL
AWS
Cloud development
Financial services
Data warehouse
Identity & access management

Full Job Description

Hadoop Migration | Banking Modernisation Program

We are seeking an experienced Data Engineer to support a major banking data modernisation program, migrating existing Hadoop data workloads and pipelines to AWS and Snowflake.

This is a hands-on engineering role focused on building reliable data pipelines, transforming and migrating complex datasets, and delivering secure, scalable and production-ready data solutions within a highly regulated banking environment.

What You’ll Do

Analyse existing Hadoop datasets, pipelines, transformations, dependencies and workload characteristics.
Build and migrate batch, incremental and near-real-time data pipelines into AWS and Snowflake.
Develop ingestion, transformation and integration solutions across raw/landing, curated and business-consumption layers.
Re-engineer Hadoop-based workloads into scalable cloud-native data solutions.
Develop Snowflake databases, schemas, tables, views, stages, Snowpipe, Streams and Tasks.
Implement ETL/ELT pipelines and enterprise data models supporting analytics and reporting.
Perform data profiling, cleansing, validation, reconciliation and migration testing.
Implement data quality, lineage, metadata and governance requirements.
Apply security controls including IAM/RBAC, encryption, masking, privacy and audit logging.
Optimise Snowflake queries, warehouse sizing, workload performance and consumption costs.
Build automated CI/CD and DataOps deployment processes.
Implement monitoring, alerting, logging and operational-support capabilities.
Produce technical designs, data mappings, pipeline documentation and operational runbooks.
Work closely with data architects, AWS and Snowflake specialists, security teams, analysts and managed-service teams.

What You’ll Bring

Strong hands-on data engineering experience with Snowflake and AWS.
Experience migrating Hadoop-based data platforms, datasets and pipelines to cloud environments.
Strong Snowflake development skills across databases, schemas, warehouses, tables, views, stages, Snowpipe, Streams and Tasks.
Strong experience building batch, incremental and near-real-time ingestion pipelines.
Advanced SQL skills and experience with Python, PySpark or similar data engineering technologies.
Strong knowledge of ETL/ELT, data integration, data warehousing and lake/lakehouse concepts.
Experience with dimensional and relational modelling, curated data products and semantic layers.
Experience with AWS data ingestion, storage, processing and integration services.
Knowledge of Hadoop technologies such as HDFS, Hive, Spark and related ecosystem tools.
Experience with data quality, reconciliation, metadata, lineage, cataloguing and governance.
Knowledge of IAM/RBAC, encryption, masking, privacy controls and secure data engineering.
Experience with Git, CI/CD, DataOps and automated testing and deployment.
Strong Snowflake performance optimisation and cloud cost-management skills.
Experience delivering production monitoring, observability, operational readiness and support documentation.
Banking, financial services or highly regulated enterprise experience is strongly preferred.
Snowflake and AWS data engineering certifications are highly regarded.
Experience with Power BI consumption patterns, enterprise semantic models or data-governance platforms would be advantageous.

Why Apply?

This is an opportunity to contribute to a significant Hadoop-to-AWS-and-Snowflake transformation, solve complex data engineering challenges and help build a modern enterprise data platform within a major banking environment.

If you are a hands-on Data Engineer with strong Snowflake, AWS and data migration experience, we would welcome your application.

Apply Now

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