GCP Data Engineer
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Key skills for this role
Key Skills for This Role
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1. Data Pipeline Development & Engineering
Build batch and real-time data processing workflows
2. Cloud Data Platform Management (GCP) Implement scalable data warehousing and lakehouse architectures 3. Data Modeling & Transformation Perform data cleansing, transformation, and aggregation for analytics readiness 4. Analytics & Visualization Enablement Collaborate with analysts and business teams to define reporting requirements 5. Collaboration & Stakeholder Engagement Provide data platform support and resolve data-related issues 6. Data Governance, Security & Compliance Ensure compliance with data privacy regulations and enterprise policies Identify and implement performance optimizations across pipelines and databases Stay updated with evolving GCP and data engineering technologies Technical Skills Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage) Experience with ETL/ELT pipeline design and data warehousing Functional & Process Skills Expertise in data modeling, data integration, and pipeline optimization Soft Skills Excellent communication and stakeholder management skills Qualifications & Experience 5+ years of experience in data engineering or similar roles Hands-on experience in Python, SQL, Airflow orchestration Experience with PySpark / Spark / Kafka (streaming pipelines) Exposure to AI/ML pipelines and advanced analytics Success Metrics (KPIs) Data quality and accuracy metrics Cost optimization on cloud data infrastructure Adoption and usability of dashboards (Looker Studio)
Implement scalable data warehousing and lakehouse architectures
3. Data Modeling & Transformation Perform data cleansing, transformation, and aggregation for analytics readiness 4. Analytics & Visualization Enablement Collaborate with analysts and business teams to define reporting requirements 5. Collaboration & Stakeholder Engagement Provide data platform support and resolve data-related issues 6. Data Governance, Security & Compliance Ensure compliance with data privacy regulations and enterprise policies Identify and implement performance optimizations across pipelines and databases Stay updated with evolving GCP and data engineering technologies Technical Skills Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage) Experience with ETL/ELT pipeline design and data warehousing Functional & Process Skills Expertise in data modeling, data integration, and pipeline optimization Soft Skills Excellent communication and stakeholder management skills Qualifications & Experience 5+ years of experience in data engineering or similar roles Hands-on experience in Python, SQL, Airflow orchestration Experience with PySpark / Spark / Kafka (streaming pipelines) Exposure to AI/ML pipelines and advanced analytics Success Metrics (KPIs) Data quality and accuracy metrics Cost optimization on cloud data infrastructure Adoption and usability of dashboards (Looker Studio)
Perform data cleansing, transformation, and aggregation for analytics readiness
4. Analytics & Visualization Enablement Collaborate with analysts and business teams to define reporting requirements 5. Collaboration & Stakeholder Engagement Provide data platform support and resolve data-related issues 6. Data Governance, Security & Compliance Ensure compliance with data privacy regulations and enterprise policies Identify and implement performance optimizations across pipelines and databases Stay updated with evolving GCP and data engineering technologies Technical Skills Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage) Experience with ETL/ELT pipeline design and data warehousing Functional & Process Skills Expertise in data modeling, data integration, and pipeline optimization Soft Skills Excellent communication and stakeholder management skills Qualifications & Experience 5+ years of experience in data engineering or similar roles Hands-on experience in Python, SQL, Airflow orchestration Experience with PySpark / Spark / Kafka (streaming pipelines) Exposure to AI/ML pipelines and advanced analytics Success Metrics (KPIs) Data quality and accuracy metrics Cost optimization on cloud data infrastructure Adoption and usability of dashboards (Looker Studio)
Collaborate with analysts and business teams to define reporting requirements
5. Collaboration & Stakeholder Engagement Provide data platform support and resolve data-related issues 6. Data Governance, Security & Compliance Ensure compliance with data privacy regulations and enterprise policies Identify and implement performance optimizations across pipelines and databases Stay updated with evolving GCP and data engineering technologies Technical Skills Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage) Experience with ETL/ELT pipeline design and data warehousing Functional & Process Skills Expertise in data modeling, data integration, and pipeline optimization Soft Skills Excellent communication and stakeholder management skills Qualifications & Experience 5+ years of experience in data engineering or similar roles Hands-on experience in Python, SQL, Airflow orchestration Experience with PySpark / Spark / Kafka (streaming pipelines) Exposure to AI/ML pipelines and advanced analytics Success Metrics (KPIs) Data quality and accuracy metrics Cost optimization on cloud data infrastructure Adoption and usability of dashboards (Looker Studio)
Provide data platform support and resolve data-related issues
6. Data Governance, Security & Compliance Ensure compliance with data privacy regulations and enterprise policies Identify and implement performance optimizations across pipelines and databases
Ensure compliance with data privacy regulations and enterprise policies
Stay updated with evolving GCP and data engineering technologies
Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
Experience with ETL/ELT pipeline design and data warehousing
Functional & Process Skills Expertise in data modeling, data integration, and pipeline optimization Soft Skills Excellent communication and stakeholder management skills Qualifications & Experience 5+ years of experience in data engineering or similar roles Hands-on experience in Python, SQL, Airflow orchestration Experience with PySpark / Spark / Kafka (streaming pipelines) Exposure to AI/ML pipelines and advanced analytics Success Metrics (KPIs) Data quality and accuracy metrics Cost optimization on cloud data infrastructure Adoption and usability of dashboards (Looker Studio)
Expertise in data modeling, data integration, and pipeline optimization
Soft Skills Excellent communication and stakeholder management skills Qualifications & Experience 5+ years of experience in data engineering or similar roles Hands-on experience in Python, SQL, Airflow orchestration Experience with PySpark / Spark / Kafka (streaming pipelines) Exposure to AI/ML pipelines and advanced analytics Success Metrics (KPIs) Data quality and accuracy metrics Cost optimization on cloud data infrastructure Adoption and usability of dashboards (Looker Studio)
Excellent communication and stakeholder management skills
Qualifications & Experience 5+ years of experience in data engineering or similar roles Hands-on experience in Python, SQL, Airflow orchestration Experience with PySpark / Spark / Kafka (streaming pipelines)
5+ years of experience in data engineering or similar roles
Hands-on experience in Python, SQL, Airflow orchestration
Exposure to AI/ML pipelines and advanced analytics
Success Metrics (KPIs) Data quality and accuracy metrics Cost optimization on cloud data infrastructure Adoption and usability of dashboards (Looker Studio)
Data quality and accuracy metrics
Cost optimization on cloud data infrastructure
Adoption and usability of dashboards (Looker Studio)
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