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Technology and Transformation - Engineering - Consultant - GCP Data Engineer - Pune
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deloitte
Job Description
Technology and Transformation - Engineering - Consultant - GCP Data Engineer - Pune
• Job requisition ID : 110070
• Location: Pune
• Entity: Deloitte Touche Tohmatsu India LLP
The Team
Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses opportunities in business intelligence & visualization, data management, performance management, and next-generation analytics technologies including big data, cloud, cognitive and machine learning.
Your Work Profile
As a Consultant in our Technology & Transformation team, you will be responsible for designing, developing, and maintaining cloud-native data engineering solutions on Google Cloud Platform (GCP).
Key Skills & Competencies
• 3-5 years of hands-on experience
• Develop and maintain cloud-native data engineering solutions on GCP
• Build and optimize ETL/ELT pipelines using BigQuery, Dataproc, and PySpark
• Develop data processing and automation scripts using Python
• Create and manage workflow orchestration using Cloud Composer
• Write efficient SQL and PL/SQL queries
• Collaborate with business and technical teams
• Troubleshoot data pipeline issues and ensure data quality
• Support performance optimization and continuous improvement initiatives
• Hands-on experience working with Google Cloud Platform (GCP)
• Strong knowledge of BigQuery
• Experience with Cloud Composer for workflow orchestration
• Hands-on experience with Dataproc
• Proficiency in Python programming
• Strong experience in SQL and PL/SQL
• Experience developing data pipelines using Spark/PySpark
• Understanding of data warehousing and ETL/ELT concepts
• Strong analytical and problem-solving skills
• Experience with Cloud Storage and Pub/Sub
• Exposure to data modelling concepts
• Familiarity with CI/CD implementation
• Knowledge of Agile methodologies
• Understanding of data governance and security best practices
Preferred Qualifications
Education: B.E./B.Tech/MCA/M.Tech/M.Sc
Experience: 3–5 years of relevant hands-on experience in GCP Data Engineering.
Success Metrics
• Demonstrating technical excellence and accountability
• Delivering quality solutions with minimal supervision
• Collaborating effectively with team members and stakeholders
• Applying analytical thinking to solve complex business problems
• Continuously learning new tools and technologies
• Actively contributing to team knowledge sharing
Location and Way of Working
Base Location: Pune / Bangalore / Hyderabad
Hybrid is our default way of working. Each domain has customized the hybrid approach to business and client requirements.
• Job requisition ID : 110070
• Location: Pune
• Entity: Deloitte Touche Tohmatsu India LLP
The Team
Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses opportunities in business intelligence & visualization, data management, performance management, and next-generation analytics technologies including big data, cloud, cognitive and machine learning.
Your Work Profile
As a Consultant in our Technology & Transformation team, you will be responsible for designing, developing, and maintaining cloud-native data engineering solutions on Google Cloud Platform (GCP).
Key Skills & Competencies
• 3-5 years of hands-on experience
• Develop and maintain cloud-native data engineering solutions on GCP
• Build and optimize ETL/ELT pipelines using BigQuery, Dataproc, and PySpark
• Develop data processing and automation scripts using Python
• Create and manage workflow orchestration using Cloud Composer
• Write efficient SQL and PL/SQL queries
• Collaborate with business and technical teams
• Troubleshoot data pipeline issues and ensure data quality
• Support performance optimization and continuous improvement initiatives
• Hands-on experience working with Google Cloud Platform (GCP)
• Strong knowledge of BigQuery
• Experience with Cloud Composer for workflow orchestration
• Hands-on experience with Dataproc
• Proficiency in Python programming
• Strong experience in SQL and PL/SQL
• Experience developing data pipelines using Spark/PySpark
• Understanding of data warehousing and ETL/ELT concepts
• Strong analytical and problem-solving skills
• Experience with Cloud Storage and Pub/Sub
• Exposure to data modelling concepts
• Familiarity with CI/CD implementation
• Knowledge of Agile methodologies
• Understanding of data governance and security best practices
Preferred Qualifications
Education: B.E./B.Tech/MCA/M.Tech/M.Sc
Experience: 3–5 years of relevant hands-on experience in GCP Data Engineering.
Success Metrics
• Demonstrating technical excellence and accountability
• Delivering quality solutions with minimal supervision
• Collaborating effectively with team members and stakeholders
• Applying analytical thinking to solve complex business problems
• Continuously learning new tools and technologies
• Actively contributing to team knowledge sharing
Location and Way of Working
Base Location: Pune / Bangalore / Hyderabad
Hybrid is our default way of working. Each domain has customized the hybrid approach to business and client requirements.
