Data Engineer

Compunnel Inc.; Westlake (OH); On-site; USD 90,000 - 150,000; Full time

Job summary

Compunnel Inc. is seeking a Data Engineer to design, develop, and maintain scalable data solutions that support analytics and business operations in a modern cloud environment.

You will build data pipelines, optimize SQL/PLSQL, and work with relational and NoSQL databases while applying ETL/ELT practices in an Agile team. You will use Python, Java, and Unix scripting, collaborate with global teams, and contribute to DevOps/CI/CD with Git, Maven, Jenkins, and cloud services such as AWS.

Qualifications

• Bachelor’s or Master’s degree in CS/CE or related field.
• Strong SQL and PL/SQL development and debugging.
• Experience with relational databases (Oracle, PostgreSQL) and NoSQL databases (DynamoDB, Elasticsearch).
• Experience with Python, Java, or Unix scripting.
• DevOps/CI/CD tools such as Git, Maven, Jenkins.
• Experience with AWS cloud services (EC2, S3, Lambda, SNS, SQS).
• Strong analytical, problem solving, and troubleshooting skills.
• Excellent communication skills and ability to work in distributed teams.

Responsibilities

• Design, develop, and maintain data pipelines and data processing solutions.
• Develop and optimize SQL/PLSQL queries for data extraction and transformation.
• Work with relational and NoSQL databases to manage and process large datasets.
• Implement and maintain ETL/ELT processes and data models.
• Collaborate with cross-functional and global teams in an Agile environment.
• Develop and maintain code using Python, Java, or Unix scripting.
• Support DevOps and CI/CD processes using Git, Maven, Jenkins, or similar.
• Work with cloud services to build scalable and reliable data solutions.
• Monitor, validate, and troubleshoot issues across dev, test, and prod environments.
• Continuously evaluate and implement new technologies to improve data engineering capabilities.

Skills

Data modeling

ETL/ELT design

SQL/PLSQL

Python/Java/Unix

Agile teams

Problem solving

Communication

Education

Bachelor’s or Master’s degree in CS/CE or related field

Tools

Git

Maven

Jenkins

DynamoDB

Elasticsearch

AWS

Job description

We are seeking a Data Engineer to design, develop, and maintain scalable data solutions that support analytics and business operations. The ideal candidate will have strong experience in data modeling, ETL/ELT processes, and cloud-based data platforms, along with the ability to work collaboratively in Agile environments.

Key Responsibilities

• Design, develop, and maintain data pipelines and data processing solutions
• Develop and optimize SQL and PL/SQL queries for data extraction and transformation
• Work with relational and NoSQL databases to manage and process large datasets
• Implement and maintain ETL/ELT processes and data models
• Collaborate with cross-functional and global teams in an Agile environment
• Develop and maintain code using programming languages such as Python, Java, or Unix scripting
• Support DevOps and CI/CD processes using tools such as Git, Maven, Jenkins, or similar
• Work with cloud services to build scalable and reliable data solutions
• Monitor, validate, and troubleshoot issues across development, testing, and production environments
• Continuously evaluate and implement new technologies to improve data engineering capabilities

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
• Strong experience with SQL and PL/SQL development and debugging
• Experience working with relational databases (e.g., Oracle, PostgreSQL) and NoSQL databases (e.g., DynamoDB, Elasticsearch)
• Strong understanding of data modeling and ETL/ELT concepts and tools
• Experience with programming languages such as Python, Java, or Unix scripting
• Experience with DevOps and CI/CD tools such as Git, Maven, Jenkins, or similar
• Experience with cloud platforms, preferably AWS (e.g., EC2, S3, Lambda, SNS, SQS)
• Strong analytical, problem-solving, and troubleshooting skills
• Excellent communication skills and ability to work in distributed teams

Preferred Qualifications

• AWS certifications (Associate, Professional, or Specialty)
• Experience with streaming or messaging technologies such as Kafka, Kinesis, SNS, or SQS
• Experience working in Agile environments and modern data platforms