Senior Data Architect

Undisclosed

Bengaluru

On-site

INR 1,500,000 - 2,200,000

Full time

14 days+

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Job summary

A leading company in pharmaceutical manufacturing is looking for a Senior Associate Data Engineer with extensive experience in data architecture and GCP environments. The role includes designing scalable data solutions and implementing data pipelines. The ideal candidate will have strong expertise in SQL, Python, and various GCP services while possessing excellent communication and leadership skills.

Qualifications

  • 7+ years of experience in data architecture with at least 3 years in GCP environments.
  • Strong problem-solving skills and ability to architect solutions for complex data environments.
  • Leadership experience and ability to mentor technical teams.

Responsibilities

  • Design and implement scalable data architectures on GCP.
  • Lead the design and development of data pipelines with BigQuery and Dataflow.
  • Collaborate with stakeholders to define data strategy and roadmap.

Skills

Data architecture
SQL
Python
Data warehousing
Real-time data processing

Education

Google Cloud Certification (Professional Data Engineer)

Tools

BigQuery
Cloud Dataflow
Cloud Pub/Sub
Cloud Storage

Job description

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• Design and implement scalable, secure, and cost-effective data architectures using GCP.

• Lead the design and development of data pipelines with BigQuery, Dataflow, and Cloud Storage.

• Architect and implement data lakes, data warehouses, and real-time data processing solutions on GCP.

• Ensure data architecture aligns with business goals, governance, and compliance requirements.

• Collaborate with stakeholders to define data strategy and roadmap.

• Design and deploy BigQuery solutions for optimized performance and cost efficiency.

• Build and maintain ETL/ELT pipelines for large-scale data processing.

• Leverage Cloud Pub/Sub, Dataflow, and Cloud Functions for real-time data integration.

Requirements

7+ years of experience in data architecture, with at least 3 years in GCP environments.

• Expertise in BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, and related GCP services.

• Strong experience in data warehousing, data lakes, and real-time data pipelines .

• Proficiency in SQL, Python , or other data processing languages .

• Experience with cloud security, data governance, and compliance frameworks.

• Strong problem-solving skills and ability to architect solutions for complex data environments.

• Google Cloud Certification (Professional Data Engineer, Professional Cloud Architect) preferred.

• Leadership experience and ability to mentor technical teams.

• Excellent communication and collaboration skills.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Pharmaceutical Manufacturing

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IN_Senior Associate_Data Engineer-- Data and Analytics_Advisory_Pan India
IN_Senior Associate_Data Engineer-- Data and Analytics_Advisory_Pan India
IN_Senior Associate_Data Engineer-- Data and Analytics_Advisory_Pan India
IN_Senior Associate_Data Engineer-- Data and Analytics_Advisory_Pan India
IN_Senior Associate_Data Engineer-- Data and Analytics_Advisory_Pan India
IN_Senior Associate_Data Engineer-- Data and Analytics_Advisory_Pan India
IN_Senior Associate_Data Engineer-- Data and Analytics_Advisory_Pan India
IN_Senior Associate_Data Engineer-- Data and Analytics_Advisory_Pan India
IN_Senior Associate_Data Engineer-- Data and Analytics_Advisory_Pan India
IN_Senior Manager_Data Engineer_Data and Analytics_Advisory_Pan India
IN_Senior Associate_Data Engineer-- Data and Analytics_Advisory_Pan India
IN_Senior Manager_Data Engineer_Data and Analytics_Advisory_Pan India

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