Our team is looking for a Senior Data Engineer for one of our clients.

Our client is one of the TOP-3 global management consulting firms considered to be among the most prestigious ones in the world. Hundreds of customers from Fortune-500, including the largest global financial institutions, the world's top media companies, technology companies and federal government agencies rely on our client's proven platform and services.

The project You will play a critical role in designing, building, and maintaining high-quality data pipelines and infrastructure in adherence to data engineering standards and best practices. You will actively collaborate with team members, product teams in different portfolios and stakeholders alike.

You will be an active learner: tinkering with new products and services, using unfamiliar technologies, and encouraging continuous research inside and outside the current focus fields. You will provide leadership in the development and strategic direction of new products, processes, technologies. Technology Stack: Python, PySpark, AWS Glue, PL/SQL,



CloudFormation and Terraform, CI/CD, PowerBI, Tableau, Athena, and Lambda, Jira, GitHub, Snowflake

Location: Poland (Remote), India (office)

Responsibilities and tasks:
- Design, build, and maintain scalable and productive data pipelines to move data between cloud-native databases (e.g., Snowflake) and SaaS providers using AWS Glue and Python
- Implement and manage ETL/ELT processes to ensure seamless data integration and transformation
- Ensure information security and compliance with data governance standards
- Maintain and enhance data environments, including data lakes, warehouses, and distributed processing systems
- Utilize version control systems (e.g., GitHub) to manage code and collaborate effectively with the team

Our expectations of the candidate:
- 6+ years of hands-on experience in Data Engineering
- Deep technical skills in AWS Glue (Crawler, Data Catalog)
- Hands-on experience with P

📌 Senior Data Engineer (India)
🏢 Instinctools
📍 India