AWS Data Engineer (min 5 years of experience)
Budget: ₹80,000 – ₹85,000 INR
Job Description
Impressico is looking for data engineers to work on data migrations and pipeline orchestration on its clients’ projects.
min 5 Years of experience
Responsibilities:
• Create and maintain optimal data pipeline architectures
• Optimize data delivery for greater scalability
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS cloud technologies
• Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
• enabling and running data migrations across different databases and different servers
• performing thorough testing and validation in order to support the accuracy of data transformations and data verification to be used by downstream applications
Recommend different ways to constantly improve data reliability and quality.
Job Specification
(Mandatory Skills required)
• Coding in Python
• SQL querying
• Hands-on experience in at least one of the following: AWS Glue, AWS EMR, AWS Redshift
• Hands-on experience in AWS S3
• Orchestration experience of data pipelines on-premise or on the AWS cloud including automation
• Hands-on experience in ETL tools, frameworks, processes
• Hands-on experience working on a data warehouse
• Hands-on experience working with multiple databases
Good to Have
• Talend
• SPArk scrpting/ PySpark
• Data Lake and Data Warehousing experience
• SSIS
• Git
DevOps (CI/CD)
Impressico is looking for data engineers to work on data migrations and pipeline orchestration on its clients’ projects.
min 5 Years of experience
Responsibilities:
• Create and maintain optimal data pipeline architectures
• Optimize data delivery for greater scalability
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS cloud technologies
• Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
• enabling and running data migrations across different databases and different servers
• performing thorough testing and validation in order to support the accuracy of data transformations and data verification to be used by downstream applications
Recommend different ways to constantly improve data reliability and quality.
Job Specification
(Mandatory Skills required)
• Coding in Python
• SQL querying
• Hands-on experience in at least one of the following: AWS Glue, AWS EMR, AWS Redshift
• Hands-on experience in AWS S3
• Orchestration experience of data pipelines on-premise or on the AWS cloud including automation
• Hands-on experience in ETL tools, frameworks, processes
• Hands-on experience working on a data warehouse
• Hands-on experience working with multiple databases
Good to Have
• Talend
• SPArk scrpting/ PySpark
• Data Lake and Data Warehousing experience
• SSIS
• Git
DevOps (CI/CD)