AWS Data Engineers
Budget: ₹400 – ₹750 INR
Responsibilities
- Responsible for the analysis, design, and develop the data warehouse and data lake system using AWS data
architecture.
- Design the system with efficient data pipelines from data acquisition, storage and visualize on following the data
delivery flow and process, that layout the system by being sure on error deduction, audit, correction, procedures,
and quality standards.
- Design and build the data marts to support the different analytical and reporting needs.
- Closely work with the data engineering, architect and analytical teams.
- Documenting the Technical solutions on the data system design, configuration and solutions.
- Define and recommend the tools, techniques and approaches to design the data solutions.
*Technical skills and Qualifications:
Must to have:*
- Having 8+ years solid experience in AWS data architecture, and building data warehouse, data lake, ELT/ETL,
business intelligence projects.
- Expertise on AWS data modelling, capable to build conceptual, logical and physical data models faster.
- Strong knowledge and experience on AWS data products like S3, Athena, Redshift, Glue, EMR, Lambda, etc...
- Strong experience on designing and developing the data processing and storage in AWS Redshift.
- Efficiently managing data operations on AWS Redshift and its clusters.
- Handling the AWS S3 with efficient storage, partitions, and retrieval techniques.
- Expertise in SQL and NoSQL concepts and has vast experience on RDBMS and NoSQL databases.
- Experience on the Python Programming Languages.
- Technical Expertise in ETL/ELT pipelines design, development, data storage and data management.
- Has handled and processed large volume (> 1 TB) dataset.
- Knowledge of Data Warehousing platforms, schema design, query tuning and optimization, and data migration and
integration.
- Responsible for the analysis, design, and develop the data warehouse and data lake system using AWS data
architecture.
- Design the system with efficient data pipelines from data acquisition, storage and visualize on following the data
delivery flow and process, that layout the system by being sure on error deduction, audit, correction, procedures,
and quality standards.
- Design and build the data marts to support the different analytical and reporting needs.
- Closely work with the data engineering, architect and analytical teams.
- Documenting the Technical solutions on the data system design, configuration and solutions.
- Define and recommend the tools, techniques and approaches to design the data solutions.
*Technical skills and Qualifications:
Must to have:*
- Having 8+ years solid experience in AWS data architecture, and building data warehouse, data lake, ELT/ETL,
business intelligence projects.
- Expertise on AWS data modelling, capable to build conceptual, logical and physical data models faster.
- Strong knowledge and experience on AWS data products like S3, Athena, Redshift, Glue, EMR, Lambda, etc...
- Strong experience on designing and developing the data processing and storage in AWS Redshift.
- Efficiently managing data operations on AWS Redshift and its clusters.
- Handling the AWS S3 with efficient storage, partitions, and retrieval techniques.
- Expertise in SQL and NoSQL concepts and has vast experience on RDBMS and NoSQL databases.
- Experience on the Python Programming Languages.
- Technical Expertise in ETL/ELT pipelines design, development, data storage and data management.
- Has handled and processed large volume (> 1 TB) dataset.
- Knowledge of Data Warehousing platforms, schema design, query tuning and optimization, and data migration and
integration.