Senior Lead Data Engineer - R01573561

Brillio 2
Bangalore +1 more
On-site

Who this role is best for

Aimed at mid-level to senior data engineers with GCP infrastructure expertise who can lead ETL pipeline optimization and security implementation.

Best fit for

  • Candidates with 5 to 8 years of data engineering experience and strong GCP infrastructure expertise
    — “at least 5 to 8 years of hands-on experience in data engineering”
  • Individuals who have led cloud migration projects and modernization of legacy systems
    — “Lead migration and modernization initiatives, transitioning legacy systems to GCP-based architectures”
  • Professionals with a background in ETL workflow development and BigQuery optimization
    — “Design, develop, and optimize scalable data pipelines and ETL workflows on Google Cloud Platform using IICS and BigQuery”

Things to consider

  • Certifications like Google Professional Data Engineer may be essential for consideration
    — “Google Professional Data Engineer certification or equivalent relevant GCP certification”
  • Experience with Salesforce data integration is a preferred but notable differentiator
    — “Experience with Salesforce data integration”

How to stand out

  • Highlight leadership in GCP infrastructure and ETL pipeline optimization on your resume
    — “Design, develop, and optimize scalable data pipelines and ETL workflows on Google Cloud Platform”
  • Emphasize hands-on experience with IICS and BigQuery in your interview responses
    — “using IICS and BigQuery”
  • Showcase your ability to implement GCP security protocols in your portfolio or projects
    — “Configure and manage GCP security protocols, including IAM roles, audit logging, and data encryption”
  • Demonstrate automation skills with Python, SQL, and shell scripting in your application materials
    — “Automate data integration processes utilizing Python, SQL, and shell scripting”
Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and optimize data pipelines
  • implement and maintain GCP infrastructure
  • automate data integration processes
  • configure GCP security protocols
  • integrate Salesforce data
Typical background
5-8 years of data engineering experience

Skills & requirements

Required

Google Cloud Platform (gcp)IICSBigQueryShell ScriptingPythonSQLData GovernanceCloud MigrationETLData IntegrationData SecurityData Streaming

Preferred

TerraformKubernetesSalesforce Data Integration

Stack & domain

Google Cloud PlatformGCP SecurityIICSBigQueryShell ScriptingPythonSQLSalesforce Data IntegrationCloud Migration StrategiesData Governance FrameworksTerraformKubernetesReal-time Data StreamingHigh AvailabilitySecurity ComplianceSeamless Data FlowAccuracyMonitoringTuningOptimizingDocumentingKnowledge SharingOperational ExcellenceGoogle Professional Data EngineerInformatica CloudData EngineeringCloud-based ETL Solutions

About the role

Original posting from Brillio 2 via Lever

Senior Lead Data Engineer

Primary Skills:

  • Google Cloud Platform Administration, Google Cloud Platform (GCP), Gsuite, Apigee, GCP Security

Specialization:

  • GCP Infrastructure Engineering: Engineer, Database & Middleware

Job requirements:

  • Experience Range: With at least 5 to 8 years of hands-on experience in data engineering, including significant expertise in GCP infrastructure and cloud-based ETL solutions Key Responsibilities: 1. Design, develop, and optimize scalable data pipelines and ETL workflows on Google Cloud Platform using IICS and BigQuery 2. Implement, maintain, and troubleshoot GCP infrastructure components, ensuring high availability and security compliance 3. Automate data integration processes utilizing Python, SQL, and shell scripting to support business analytics and reporting 4. Configure and manage GCP security protocols, including IAM roles, audit logging, and data encryption to safeguard sensitive information 5. Integrate Salesforce data with cloud data warehouses, ensuring seamless data flow and accuracy 6. Monitor and tune BigQuery performance, optimizing queries and resource utilization for large-scale datasets 7. Lead migration and modernization initiatives, transitioning legacy systems to GCP-based architectures 8. Document technical solutions, workflow processes, and best practices for ongoing knowledge sharing and operational excellence Required Skills: 1. Google Cloud Platform (GCP) administration 2. IICS (Informatica Intelligent Cloud Services) 3. BigQuery 4. Shell scripting 5. Python 6. Advanced SQL Preferred Skills: 1. Experience with Salesforce data integration 2. Expertise in cloud migration strategies 3. Knowledge of data governance frameworks 4. Proficiency with Terraform or similar infrastructure-as-code tools 5. Familiarity with Kubernetes on GCP 6. Experience with real-time data streaming solutions Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, or a closely related discipline 2. Google Professional Data Engineer certification or equivalent relevant GCP certification 3. Informatica Cloud certification

Source: Brillio 2 careers (Lever)

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