Data Engineer II
Job Description
Paragon is a case management system (CMS) used by 180+ business teams within Stores to manage their communications and interactions with their customers. These business teams using Paragon are our enterprise customers. Paragon CMS includes: a customizable workbench UI, a lifecycle manager, a routing layer, cross-cutting services such as tenant configuration, case storage, security, and data insights and analytic. The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance. They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence. We're looking for experienced technical leaders. The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance. They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence. We're looking for experienced technical leaders.Key job responsibilities1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management.2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance.3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.7. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations8. Enjoy working closely with your peers in a group of very smart and talented engineers.
Locations
- India, KA, Bangalore, Bengaluru, KA, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
2,500,000 - 4,500,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of data engineering experienceintermediate
- - Experience with SQLintermediate
- - Experience with data modeling, warehousing and building ETL pipelinesintermediate
- - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSintermediate
- - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasetsintermediate
Required Qualifications
- - 3+ years of data engineering experience (experience, 3 years)
- - Experience with SQL (experience)
- - Experience with data modeling, warehousing and building ETL pipelines (experience)
- - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS (experience)
- - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets (experience)
Preferred Qualifications
- - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions (experience)
- - Experience building large-scale, high-throughput, 24x7 data systems (experience)
- - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR (experience)
- - Experience providing technical leadership and mentoring other engineers for best practices on data engineering (experience)
Responsibilities
- 1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management.
- 2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance.
- 3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets
- 4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform
- 5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies
- 6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
- 7. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
- 8. Enjoy working closely with your peers in a group of very smart and talented engineers.
Documents
Tags & Categories
Data Engineer II
Job Description
Paragon is a case management system (CMS) used by 180+ business teams within Stores to manage their communications and interactions with their customers. These business teams using Paragon are our enterprise customers. Paragon CMS includes: a customizable workbench UI, a lifecycle manager, a routing layer, cross-cutting services such as tenant configuration, case storage, security, and data insights and analytic. The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance. They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence. We're looking for experienced technical leaders. The successful candidate is expected to contribute to all parts of the data engineering and deployment lifecycle, including design, development, documentation, testing and maintenance. They must possess good verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. You will thrive in our collaborative environment, working alongside accomplished engineers who value teamwork and technical excellence. We're looking for experienced technical leaders.Key job responsibilities1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management.2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance.3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.7. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations8. Enjoy working closely with your peers in a group of very smart and talented engineers.
Locations
- India, KA, Bangalore, Bengaluru, KA, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
2,500,000 - 4,500,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - 3+ years of data engineering experienceintermediate
- - Experience with SQLintermediate
- - Experience with data modeling, warehousing and building ETL pipelinesintermediate
- - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSintermediate
- - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasetsintermediate
Required Qualifications
- - 3+ years of data engineering experience (experience, 3 years)
- - Experience with SQL (experience)
- - Experience with data modeling, warehousing and building ETL pipelines (experience)
- - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS (experience)
- - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets (experience)
Preferred Qualifications
- - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions (experience)
- - Experience building large-scale, high-throughput, 24x7 data systems (experience)
- - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR (experience)
- - Experience providing technical leadership and mentoring other engineers for best practices on data engineering (experience)
Responsibilities
- 1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of case management.
- 2. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance.
- 3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets
- 4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform
- 5. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies
- 6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
- 7. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
- 8. Enjoy working closely with your peers in a group of very smart and talented engineers.