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Cloud Engineer- Data Focused
Innovative SolutionsUnited Statesfull_timeVerifiedPosted 26 Feb 2025
About the role
Title: Cloud Engineering- Data focusLocation: Rochester, NY; hybrid candidates with 10% travel required
The objective of the Role: Cloud Engineer will be a key technical resource responsible for implementing AWS data services, creating ETL/ELT pipelines, and supporting data solutions that help our customers unlock insights from their data. You will work closely with Cloud Architects and senior team members to deliver high-quality solutions that meet customer requirements.
Top candidates will have the following:1. Technical familiarity with AWS data services and modern data engineering practices2. Hands-on experience with ETL/ELT processes and data transformation3. Ability to write and optimize SQL queries across various database platforms4. Knowledge of data modeling concepts and best practices5. Strong analytical and problem-solving skills6. Eagerness to learn new technologies and keep up with cloud innovations7. Excellent communication skills with the ability to explain technical concepts clearly8. Attention to detail and commitment to solution quality9. Collaborative mindset with strong teamwork capabilities10. Experience or interest in automation and infrastructure as code
Required Experience for the Role:1. Must have 1-3 years of experience with cloud technologies, preferably AWS2. Must have AWS Certified Cloud Practitioner certification or ability to obtain within 3 months3. Must have experience with SQL and at least one programming language (Python, Java, etc.)4. Must have basic understanding of data engineering concepts and data lifecycle management5. Must have familiarity with AWS data services such as S3, RDS, Glue, and Redshift6. Must have understanding of data security and access control principles7. Must have experience with version control systems (Git)8. Must have knowledge of infrastructure as code concepts
Preferred Experience for the Role:1. AWS Solutions Architect Associate or AWS Data Analytics Specialty certification2. Experience with AWS Lambda, Step Functions, or other serverless technologies3. Familiarity with data visualization tools such as QuickSight or Tableau4. Knowledge of big data technologies such as Hadoop, Spark, or Hive
Responsibilities, including success measures and KPIs:1. Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR2. Creating and maintaining data extraction, transformation, and loading processes3. Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB4. Implementing data lakes using S3 and related AWS services5. Writing and testing SQL queries and stored procedures6. Documenting technical solutions and providing knowledge transfer to customers7. Supporting the implementation of data governance and security controls8. Troubleshooting and resolving issues with data pipelines and services9. Participating in code reviews and implementing feedback10. Assisting with proof-of-concept implementations for customer engagements
The objective of the Role: Cloud Engineer will be a key technical resource responsible for implementing AWS data services, creating ETL/ELT pipelines, and supporting data solutions that help our customers unlock insights from their data. You will work closely with Cloud Architects and senior team members to deliver high-quality solutions that meet customer requirements.
Top candidates will have the following:1. Technical familiarity with AWS data services and modern data engineering practices2. Hands-on experience with ETL/ELT processes and data transformation3. Ability to write and optimize SQL queries across various database platforms4. Knowledge of data modeling concepts and best practices5. Strong analytical and problem-solving skills6. Eagerness to learn new technologies and keep up with cloud innovations7. Excellent communication skills with the ability to explain technical concepts clearly8. Attention to detail and commitment to solution quality9. Collaborative mindset with strong teamwork capabilities10. Experience or interest in automation and infrastructure as code
Required Experience for the Role:1. Must have 1-3 years of experience with cloud technologies, preferably AWS2. Must have AWS Certified Cloud Practitioner certification or ability to obtain within 3 months3. Must have experience with SQL and at least one programming language (Python, Java, etc.)4. Must have basic understanding of data engineering concepts and data lifecycle management5. Must have familiarity with AWS data services such as S3, RDS, Glue, and Redshift6. Must have understanding of data security and access control principles7. Must have experience with version control systems (Git)8. Must have knowledge of infrastructure as code concepts
Preferred Experience for the Role:1. AWS Solutions Architect Associate or AWS Data Analytics Specialty certification2. Experience with AWS Lambda, Step Functions, or other serverless technologies3. Familiarity with data visualization tools such as QuickSight or Tableau4. Knowledge of big data technologies such as Hadoop, Spark, or Hive
Responsibilities, including success measures and KPIs:1. Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR2. Creating and maintaining data extraction, transformation, and loading processes3. Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB4. Implementing data lakes using S3 and related AWS services5. Writing and testing SQL queries and stored procedures6. Documenting technical solutions and providing knowledge transfer to customers7. Supporting the implementation of data governance and security controls8. Troubleshooting and resolving issues with data pipelines and services9. Participating in code reviews and implementing feedback10. Assisting with proof-of-concept implementations for customer engagements
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