Hiring || GCP Big Data Engineer (BLRChennaiGurugram)
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Job Location:
Monthly Salary:
Posted on:
1 hour ago
Vacancies:
1 Vacancy
Job Summary
- Design develop and maintain scalable data pipelines and analytics solutions on GCP
- Perform advanced data analysis using Python and ANSI-SQL to extract meaningful insights
- Optimize BigQuery performance and refine complex SQL queries for efficiency and scalability
- Ensure data quality integrity and security across all analytics workflows
- Collaborate with stakeholders to gather requirements and translate business needs into technical solutions
- Troubleshoot and resolve performance bottlenecks in data processing and query execution
- Mentor junior engineers in Python programming GCP analytics tools and best practices
- Document analytics methodologies processes and best practices for team-wide knowledge sharing
Requirements
- 5-12 years of hands-on experience in GCP-based data analytics and engineering
- Expertise in GCP BigQuery ANSI-SQL and Python for data processing and analytics
- Proven experience with GCP Datastream for real-time data integration
- Strong understanding of data pipeline design ETL/ELT processes and cloud data warehousing
- Experience in performance tuning of BigQuery and optimization of large-scale SQL queries
- Familiarity with data modeling data governance and security best practices in cloud environments
- Excellent problem-solving skills and ability to work collaboratively in agile cross-functional teams
- Bachelors or advanced degree in Computer Science Engineering or a related technical field
Required Skills:
Summary: We are seeking a seasoned GCP Big Data Engineer with 5-12 years of experience to lead data analytics initiatives on Google Cloud Platform. The ideal candidate will possess deep expertise in GCP BigQuery ANSI-SQL and Python with a proven ability to design develop and optimize scalable data pipelines and analytics solutions. This role is critical in transforming complex datasets into actionable insights that drive business intelligence and strategic decision-making. You will collaborate across cross-functional teams to deliver robust secure and high-performance data solutions within the GCP ecosystem while staying ahead of emerging trends to continuously enhance data architecture and analytics capabilities. Responsibilities: Design develop and maintain scalable data pipelines and analytics solutions on GCP Perform advanced data analysis using Python and ANSI-SQL to extract meaningful insights Optimize BigQuery performance and refine complex SQL queries for efficiency and scalability Ensure data quality integrity and security across all analytics workflows Collaborate with stakeholders to gather requirements and translate business needs into technical solutions Troubleshoot and resolve performance bottlenecks in data processing and query execution Mentor junior engineers in Python programming GCP analytics tools and best practices Document analytics methodologies processes and best practices for team-wide knowledge sharing Requirements 5-12 years of hands-on experience in GCP-based data analytics and engineering Expertise in GCP BigQuery ANSI-SQL and Python for data processing and analytics Proven experience with GCP Datastream for real-time data integration Strong understanding of data pipeline design ETL/ELT processes and cloud data warehousing Experience in performance tuning of BigQuery and optimization of large-scale SQL queries Familiarity with data modeling data governance and security best practices in cloud environments Excellent problem-solving skills and ability to work collaboratively in agile cross-functional teams Bachelors or advanced degree in Computer Science Engineering or a related technical field Additional Details: Total Experience: 5-12 years Relevant Experience: 4 years Must-Have: GCP Big Query PySpark Database: SQL Location: Bangalore/Chennai/Gurugram Notice Period: Immediate to 15 days
Required Education:
Graduate
Company Industry
IT Services and IT Consulting
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
