Job Description

2 days ago Be among the first 25 applicants

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Direct message the job poster from ALOIS Australia

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Talent Acquisition Specialist at ALOIS Solutions

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Role: Data Engineer with GCP

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Location: Sydney

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Role Type: Contract

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Experience level - 7+ years total in Data Engineering; 4+ years on GCP with production systems.

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Top 3 Must‐Have Skillsets

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- GCP BigData Engineering (BigQuery + Dataform + Pub/Sub)
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- Expert in designing and optimising BigQuery schemas, partitioning/clustering, cost/performance tuning, query optimisation, and policy tag integration.
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- Building streaming and batch pipelines using Apache Beam/Dataflow and Pub/Sub with exactly-once semantics, backpressure handling, and replay strategies.
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- Solid experience with Dataform (or similar) for SQL-based transformations, dependency graphs, unit tests, and multi-environment deployments.
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- Production-grade Python for ETL/ELT, distributed processing, robust error handling, and testable modular design.
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- Designing resilient Airflow DAGs on Cloud Composer: dependency management, retries, SLAs, sensors, service accounts, and secrets.
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- Monitoring, alerting, and Cloud Logging/Stackdriver integration for end-to-end pipeline observability.
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- Data Security & Governance on GCP
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- Hands‐on with Dataplex (asset management, data quality, lineage), BigQuery policy tags, Cloud IAM (least privilege, fine‐grained access), KMS (key rotation, envelope encryption), and audit trails via Cloud Logging.
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- Practical experience implementing PII controls (data masking, tokenisation, attribute‐based access control) and privacy‐by‐design in pipelines.
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- Cloud Run & APIs: Building stateless microservices for data access/serving layers, implementing REST/gRPC endpoints, authentication/authorisation, rate limiting.
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- Data Modelling: Telecom‐centric event models (e.g., CDRs, network telemetry,



session/flow data), star/snowflake schemas, and lakehouse best practices.
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- Performance Engineering: BigQuery slot management, materialised views, BI Engine, partition pruning, cache strategies.
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- Secure Source Manager (CI/CD): Pipeline‐as‐code, automated tests, artifact versioning, environment promotion, canary releases, and GitOps patterns.
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- Data Quality & Testing: Great Expectations/Deequ‐like checks, schema contracts, anomaly detection, and automated data validations in CI/CD.
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- Streaming Patterns: Exactly‐once delivery, idempotent sinks, watermarking, late data handling, windowing strategies.
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- Observability & SRE Practices: Metrics, logs, traces, runbooks, SLIs/SLOs for data platforms, major incident response to support DevOps.
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- Cost Governance: BigQuery cost controls, slot commitments/reservations, workload management, storage lifecycle policies.
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- Domain Knowledge (Mobile Networks): Familiarity with 3G/4G/5G network data, OSS/BSS integrations, network KPIs, and typical analytics use cases.
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Experience Level

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- 7+ years total in data engineering; 4+ years on GCP with production systems.
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- Evidence of impact:
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- Led end-to-end delivery of large‐scale pipelines (batch + streaming) with strict PII governance.
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- Owned performance/cost optimisation initiatives in BigQuery/Dataflow at scale.
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- Implemented CI/CD for data workflows (Secure Source Manager) including automated tests and environment promotion.
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- Drove operational excellence (SLAs, incident management, RTO/RPO awareness, DR patterns).
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- Soft skills: Technical leadership, code reviews, mentoring, clear documentation, cross‐functional collaboration with Network/Analytics teams, and a bias for automation & reliability.
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Seniority level

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Mid‐Senior level

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Employment type

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Contract

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Job function

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Consulting

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Industries

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IT Services and IT Consulting

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📌 Data Engineer-GCP (New South Wales)
🏢 ALOIS Australia
📍 New South Wales