Senior Big Data Engineer
7 days ago
About the Role
We are seeking a highly skilled Senior Big Data Engineer to join our team at Getinz Techno Services. The ideal candidate will have extensive experience in designing and implementing scalable data engineering solutions using AWS Glue Pyspark for ETL processes.
Key Responsibilities
• Design and develop data architectures to meet the needs of our fintech clients
• Implement data pipelines using AWS Glue Pyspark for ETL processes
• Collaborate with cross-functional teams to ensure seamless integration of data systems
• Develop and maintain high-quality data models and data warehouses
Requirements
• 5+ years of experience in data engineering
• Strong experience in AWS Glue Pyspark for ETL processes
• Proficient with AWS Athena & SQL for data querying
• Expertise in AWS Quicksight for data visualization and dashboarding
• Solid understanding of data lake concepts and data modelling best practices
• Strong experience with AWS cloud, including S3, Lambda, Redshift, Glue and IAM
• Excellent analytical and problem-solving skills
• Strong written and verbal communication skills
What We Offer
• Competitive salary and benefits package
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance
How to Apply
Interested candidates should submit their resume and cover letter to [email address].
Job Title: Data Architect for Fintech Solutions
About the Role
We are seeking a highly skilled Data Architect for Fintech Solutions to join our team at Getinz Techno Services. The ideal candidate will have extensive experience in designing and implementing scalable data architectures for fintech clients.
Key Responsibilities
• Design and develop data architectures to meet the needs of our fintech clients
• Collaborate with cross-functional teams to ensure seamless integration of data systems
• Develop and maintain high-quality data models and data warehouses
• Implement data pipelines using AWS Glue Pyspark for ETL processes
Requirements
• 5+ years of experience in data engineering
• Strong experience in AWS Glue Pyspark for ETL processes
• Proficient with AWS Athena & SQL for data querying
• Expertise in AWS Quicksight for data visualization and dashboarding
• Solid understanding of data lake concepts and data modelling best practices
• Strong experience with AWS cloud, including S3, Lambda, Redshift, Glue and IAM
• Excellent analytical and problem-solving skills
• Strong written and verbal communication skills
What We Offer
• Competitive salary and benefits package
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance
How to Apply
Interested candidates should submit their resume and cover letter to [email address].
Job Title: Cloud-Based Data Engineering Expert
About the Role
We are seeking a highly skilled Cloud-Based Data Engineering Expert to join our team at Getinz Techno Services. The ideal candidate will have extensive experience in designing and implementing scalable data engineering solutions using AWS cloud services.
Key Responsibilities
• Design and develop data architectures to meet the needs of our fintech clients
• Implement data pipelines using AWS Glue Pyspark for ETL processes
• Collaborate with cross-functional teams to ensure seamless integration of data systems
• Develop and maintain high-quality data models and data warehouses
Requirements
• 5+ years of experience in data engineering
• Strong experience in AWS Glue Pyspark for ETL processes
• Proficient with AWS Athena & SQL for data querying
• Expertise in AWS Quicksight for data visualization and dashboarding
• Solid understanding of data lake concepts and data modelling best practices
• Strong experience with AWS cloud, including S3, Lambda, Redshift, Glue and IAM
• Excellent analytical and problem-solving skills
• Strong written and verbal communication skills
What We Offer
• Competitive salary and benefits package
• Opportunities for career growth and professional development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance
How to Apply
Interested candidates should submit their resume and cover letter to [email address].
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