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GCP Data Engineer

Tata Consultancy Services LimitedSydney, Sydney🇦🇺AustraliaPosted 29 Aug 2026

Why This Role Stands Out

This hybrid GCP Data Engineer role at Tata Consultancy Services offers exciting opportunities to build and optimize scalable data solutions using cutting-edge Google Cloud technologies, perfect for those eager to deepen their expertise in data warehousing and ETL/ELT. You'll thrive here if you possess strong Python and SQL skills and enjoy collaborating with diverse teams to drive data-informed insights. Embrace this chance to grow your career with a globally recognized leader and contribute to impactful projects.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Sydney, Sydney, Australia
DockerGCPSQLETLLookerAgileAirflowApacheBigQueryGoogle CloudKafkaKubernetesPythonStakeholder Management

Job Description

  • Design, develop, and maintain scalable ETL/ELT pipelinesusing Python, SQL, and GCP tools
  • Build batch and real-time data processing workflows
  • Automate data pipelines using Apache Airflow (CloudComposer) for orchestration
  • Develop and manage data solutions using BigQuery, CloudStorage, Dataflow, and Pub/Sub
  • Implement scalable data warehousing and lakehouse architectures
  • Monitor and optimize cloud infrastructure performance,reliability, and cost
3. Data Modeling & Transformation
  • Design and implement logical and physical data models
  • Perform data cleansing, transformation, and aggregationfor analytics readiness
  • Ensure high data quality, integrity, and consistency acrosssystems expertia.ai
  • Enable business insights through dashboards using LookerStudio / LookML
  • Collaborate with analysts and business teams to definereporting requirements
5. Collaboration & StakeholderEngagement
  • Work closely with data scientists, analysts, and businessstakeholders to gather requirements
  • Provide data platform support and resolve data-related issues
  • Communicate technical solutions effectively to non-technicalstakeholders
6. Data Governance, Security &Compliance
  • Implement data governance, access control, and security bestpractices
  • Ensure compliance with data privacy regulations and enterprisepolicies
  • Identify and implement performance optimizations acrosspipelines and databases
  • Introduce automation and best practices for DataOps and CI/CD
  • Stay updated with evolving GCP and data engineeringtechnologies
Technical Skills
  • Strong programming expertise in Python and SQL
  • Hands-on experience with Google Cloud Platform (BigQuery,Dataflow, Pub/Sub, Cloud Storage)
  • Workflow orchestration using Apache Airflow / Cloud Composer
  • Experience with ETL/ELT pipeline design and data warehousing
  • Visualization and reporting using Looker Studio / LookML
Functional & Process Skills
  • Strong understanding of data lifecycle (ingestion transformation analytics)
  • Expertise in data modeling, data integration, and pipelineoptimization
  • Familiarity with Agile / DevOps practices in dataengineering
Soft Skills
  • Strong analytical and problem-solving capabilities
  • Excellent communication and stakeholder management skills
  • Ability to work in cross-functional, global teams
Qualifications & Experience
  • Bachelor's / Master's degree in Computer Science, DataEngineering, or related field
  • 5+ years of experience in dataengineering or similar roles
  • Proven experience working with GCP-based data platforms
  • Hands-on experience in Python, SQL, Airflow orchestration
Good to Have
  • Experience with PySpark / Spark / Kafka (streamingpipelines)
  • Knowledge of CI/CD, Docker, Kubernetes
  • Exposure to AI/ML pipelines and advanced analytics
  • Certifications such as Google Professional Data Engineer
  • Pipeline performance and reliability (uptime, latency)
  • Data quality and accuracy metrics
  • Time-to-deliver data for business insights
  • Cost optimization on cloud data infrastructure
  • Adoption and usability of dashboards (Looker Studio)

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