🗣️ Language Proficiency: Upper-Intermediate

 👥 FTE: 1

 🧾 Employment type: Full time

 🌍 Candidate Location: Poland

 🕐 Working Time Zone: CET

 🚀 Start: asap

 🧭 Planned Work Duration: 12 months+

👥 Customer Description:

 Our Client is a leading global management consulting firm.

 Numerous enterprise clients, including financial, media, and technology organizations, rely on the Client’s proven platforms and services.

🧩 Project Description:

 This project focuses on building and maintaining robust data pipelines that collect and process data from multiple enterprise systems such as Jira, GitHub, AWS, ServiceNow, and other cloud infrastructure platforms.

 The goal is to provide actionable insights aligned with strategic outcomes and to support teams in evaluating GenAI productivity initiatives.

⚙️ Project Phase: ongoing

 👨‍💻Project Team: 10+

🤝 Soft Skills:

 • Problem-solving mindset

 • Ability to clarify requirements with the customer

 • Willingness to pair with other engineers when solving complex issues

 • Good communication skills

💡 Hard Skills / Must Have:

 • Deep technical skills in AWS Glue (Crawler, Data Catalog)

 • Hands-on experience with Python

 • SQL experience

 • Experience with Terraform or other Infrastructure-as-Code (IaC) tools

 • CI/CD GitHub Actions

 • DBT modelling

 • Good understanding of AWS services like S3, SNS, Secrets Manager, Athena, and Lambda

 • Familiarity with Jira, GitHub, Snowflake

✨ Hard Skills / Nice to Have:

 • Experience with Snowflake architecture, including internal and external tables, stages, and masking policies

📌 Responsibilities and Tasks:

 • Build and maintain end-to-end ETL pipelines using AWS Glue and PySpark with Snowflake as the target data warehouse

 • Develop, enhance, and support ETL processes using AWS native services

 • Integrate data sets using AWS Glue and Lambda functions

 • Use AWS SNS to send emails and alerts

 • Develop ETL processes using Python and PySpark

 • Monitor ETL processes with CloudWatch events

 • Connect with data sources like S3 and validate data using Athena

🧪 Technology Stack: Python, SQL, AWS, PySpark, Snowflake, GitHub Actions, Terraform, Airflow, Datadog, Dynatrace

📩 Ready to Join?
We look forward to receiving your application and welcoming you to our team!