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Cloud Engineer- Data Focused

Title: Cloud Engineering- Data focus

Location: 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 practices

2.       Hands-on experience with ETL/ELT processes and data transformation

3.      Ability to write and optimize SQL queries across various database platforms

4.      Knowledge of data modeling concepts and best practices

5.      Strong analytical and problem-solving skills

6.      Eagerness to learn new technologies and keep up with cloud innovations

7.      Excellent communication skills with the ability to explain technical concepts clearly

8.      Attention to detail and commitment to solution quality

9.      Collaborative mindset with strong teamwork capabilities

10.  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 AWS

2.       Must have AWS Certified Cloud Practitioner certification or ability to obtain within 3 months

3.      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 management

5.      Must have familiarity with AWS data services such as S3, RDS, Glue, and Redshift

6.      Must have understanding of data security and access control principles

7.      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 certification

2.       Experience with AWS Lambda, Step Functions, or other serverless technologies

3.      Familiarity with data visualization tools such as QuickSight or Tableau

4.      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 EMR

2.       Creating and maintaining data extraction, transformation, and loading processes

3.      Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB

4.      Implementing data lakes using S3 and related AWS services

5.      Writing and testing SQL queries and stored procedures

6.      Documenting technical solutions and providing knowledge transfer to customers

7.      Supporting the implementation of data governance and security controls

8.      Troubleshooting and resolving issues with data pipelines and services

9.      Participating in code reviews and implementing feedback

10.  Assisting with proof-of-concept implementations for customer engagements



$100,000 - $125,000 a year
The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.
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Average salary estimate

$112500 / YEARLY (est.)
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$100000K
$125000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Cloud Engineer- Data Focused, Innovative Solutions

Are you a Cloud Engineer with a passion for data? If so, Innovative wants you to join our team! As a Cloud Engineer focused on data solutions, you'll play a pivotal role in implementing AWS data services and creating efficient ETL/ELT pipelines that empower our clients to unlock valuable insights from their data. Working in a collaborative environment alongside Cloud Architects and senior team members, you will leverage your technical knowledge of AWS data services and modern data engineering practices to deliver high-quality solutions that meet and exceed customer expectations. Your experience with SQL, programming languages such as Python or Java, and data modeling concepts is essential to optimizing our database platforms. We're looking for candidates who demonstrate strong analytical and problem-solving skills, attention to detail, and a continuous eagerness to learn about new technologies as the cloud landscape evolves. Excellent communication skills are a must, as you'll need to explain technical concepts in a clear and understandable manner. With an emphasis on collaboration, you'll contribute to data governance, implement security controls, and participate in code reviews to ensure solution quality. If you’re ready to embrace the challenge of a Cloud Engineer- Data Focused role and enjoy working in a hybrid environment with some travel, we invite you to explore this exciting opportunity with Innovative, where your efforts can make a big impact on our customers' success.

Frequently Asked Questions (FAQs) for Cloud Engineer- Data Focused Role at Innovative Solutions
What are the key responsibilities of a Cloud Engineer- Data Focused at Innovative?

As a Cloud Engineer- Data Focused at Innovative, you will be responsible for implementing AWS data services, creating and maintaining ETL/ELT pipelines, and configuring AWS database services such as RDS and Redshift. You will troubleshoot issues with data pipelines, ensure data governance, and document technical solutions for knowledge transfer. Your role will also involve collaborating with the wider team to deliver high-quality data solutions that meet client needs.

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What qualifications do I need to become a Cloud Engineer- Data Focused at Innovative?

To qualify for the Cloud Engineer- Data Focused position at Innovative, candidates should have 1-3 years of experience with cloud technologies, particularly AWS, along with an AWS Certified Cloud Practitioner certification or the willingness to obtain it within three months. Familiarity with SQL, data engineering concepts, and programming languages such as Python or Java is also essential.

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What are the most important skills a Cloud Engineer- Data Focused should have?

Key skills for a Cloud Engineer- Data Focused at Innovative include technical familiarity with AWS data services, expertise in ETL/ELT processes, and the ability to write and optimize SQL queries. Strong analytical and problem-solving capabilities, effective communication skills, and experience with version control systems like Git are also crucial to this role.

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Is experience with data visualization tools necessary for the Cloud Engineer- Data Focused role?

While not strictly necessary, experience with data visualization tools such as QuickSight or Tableau can be a valuable addition for a Cloud Engineer- Data Focused at Innovative. This knowledge can enhance your ability to deliver data insights effectively, though the key focus of the role will be on data engineering and AWS services.

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What growth opportunities are available for a Cloud Engineer- Data Focused at Innovative?

A Cloud Engineer- Data Focused at Innovative has numerous opportunities for professional growth, including the chance to pursue advanced AWS certifications like the AWS Solutions Architect Associate or AWS Data Analytics Specialty. Additionally, you could potentially branch out into roles focusing on big data technologies or cloud architecture, contributing to your career advancement in the tech industry.

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Common Interview Questions for Cloud Engineer- Data Focused
Can you describe your experience with AWS data services?

When answering this question, share specific projects you worked on using AWS data services such as S3, RDS, or Glue. Emphasize how you implemented these services to solve real-world problems and what the outcomes were. Be sure to highlight your familiarity with data governance and security practices as well.

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What strategies do you use for optimizing SQL queries?

A strong response would involve explaining your understanding of query execution plans, indexing strategies, and the importance of minimizing data retrieval. Mention any specific instances where you successfully improved query performance, showcasing your analytical skills in resolving performance issues.

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How do you ensure data security and compliance when managing data pipelines?

Discuss the methods you utilize to implement data security, such as access controls and encryption in transit and at rest. Provide examples of compliance standards you’ve adhered to and how you've documented your processes to ensure transparency and accountability.

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What is your experience with ETL/ELT processes?

Use this opportunity to detail your hands-on experience with designing ETL/ELT pipelines, including specific tools or technologies you have used, such as AWS Glue. Explain the steps you take to ensure smooth data extraction, transformation, and loading processes and mention any challenges you've overcome in previous projects.

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Describe a time you collaborated on a data project with a team.

Share a specific anecdote that demonstrates your teamwork and communication skills. Illustrate how you engaged with team members to achieve shared goals, how you resolved conflicts, and what the project outcomes were. This showcases your collaborative mindset, essential for the Cloud Engineer- Data Focused role.

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What programming languages are you proficient in and how have you utilized them in your previous roles?

Focus on your proficiency with languages such as Python or Java, and give examples of how you've used them in data transformation tasks or automation of data processes. Be sure to highlight any relevant libraries or frameworks you are familiar with that enhance your capabilities in data engineering.

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Can you explain the importance of data modeling in your role as a Cloud Engineer?

Articulate how effective data modeling facilitates a clear understanding of data structures and interrelations, which leads to efficient data management and retrieval. Discuss specific data modeling techniques you’ve employed and their impact on project outcomes.

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How do you keep up with the latest developments in cloud technology?

Outline your strategies for staying informed about cloud technology advancements, such as following industry blogs, participating in webinars, or engaging with professional networks. This will reflect your eagerness to learn and adapt to new technologies, an important trait for the Cloud Engineer- Data Focused role.

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What challenges have you faced in implementing data solutions and how did you handle them?

Be prepared to discuss specific challenges you've encountered, whether they relate to technical issues, such as integration difficulties or project management challenges, and how you approached these problems. Emphasizing your problem-solving skills will be key in answering this question.

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Why do you want to work as a Cloud Engineer- Data Focused at Innovative?

Express your passion for data engineering and cloud technology, and discuss what specifically attracts you to Innovative's culture, values, and projects. Personalizing your answer will help you connect with interviewers and demonstrate your genuine interest in the position.

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Full-time, hybrid
DATE POSTED
February 27, 2025

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