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We are looking for a Mid to Senior Level Data Engineer to join our Data Warehouse team and help build scalable, cloud-based reporting and analytics solutions. This is a highly hands-on role suited for someone who enjoys solving data problems, building reliable pipelines, and working closely with stakeholders across the business. You will work within a small and collaborative engineering team where communication, ownership, and initiative are highly valued.
The environment is primarily AWS-based, and you will be working with modern cloud data technologies including S3, Athena, Redshift, Glue, Lambda, and Terraform.
This role is ideal for someone who:
Enjoys both technical problem-solving and stakeholder collaboration
Is confident working with SQL and Python daily
Wants exposure to modern AWS data engineering practices
Prefers working in a lean, agile team with strong ownership
Key Responsibilities
Build, maintain, and optimize ETL/ELT data pipelines within AWS
Develop scalable reporting and analytics solutions using cloud-native technologies
Work with stakeholders across multiple teams to understand reporting and data requirements
Write clean, reliable, and maintainable SQL and Python code
Support and improve data warehouse architecture and data models
Assist in deploying and managing infrastructure using Terraform and Infrastructure as Code practices
Contribute to technical discussions, solution design, and continuous improvement initiatives
Troubleshoot data quality issues and pipeline failures when required
Participate in maintaining stable and reliable production data platforms
Tech Stack
You will work with technologies including:
AWS S3
Athena
Redshift
Glue
Lambda
Terraform
SQL
Python
What We’re Looking For
Required Skills & Experience
5+ years of experience working as a Data Engineer, ETL Developer, or similar role
Strong SQL skills with daily hands-on usage
Strong Python skills for data processing and pipeline development
Experience working with AWS cloud services
Exposure to AWS data technologies such as S3, Athena, Redshift, or Glue
Experience building and maintaining ETL/ELT pipelines
Strong communication and stakeholder management skills
Ability to work confidently with cross-functional teams
Comfortable contributing to technical analysis and solution discussions
Willing to work on a hybrid setup
Nice to Have
Experience with Terraform or Infrastructure as Code
Experience with cloud-based data warehouse platforms such as Redshift, Snowflake, or BigQuery
Exposure to CI/CD practices
Experience working in agile environments
Why Join the Team?
Work with modern AWS cloud technologies
Join a lean and collaborative engineering team
Exposure to enterprise-scale telecommunications and analytics platforms
Opportunity to contribute directly to technical decisions and platform improvements
Strong ownership and growth opportunities within the team
Work closely with experienced technical leadership
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