Data warehousing solutions (redshift, bigquery, snowflake)
The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support business intelligence, analytics, and data-driven decision-making
Job Summary
The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support business intelligence, analytics, and data-driven decision-making.
Design, develop, and maintain robust and scalable data pipelines (ETL/ELT), build and optimize data architectures and data models, and ensure high data quality, integrity, and reliability across systems.
Avenga is committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth.
Matching Summary
The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support business intelligence, analytics, and data-driven decision-making.
Skills & Requirements
Must-have
Python, SQL, and data processing frameworks
Cloud platforms (AWS, Azure, or GCP)
Data warehousing solutions (Redshift, BigQuery, Snowflake)
Building and maintaining large-scale data pipelines
Orchestration tools (e.g., Airflow)
Nice-to-have
Human creativity empowers technology
Full spectrum of services
Equal opportunities in recruitment
Key Requirements
Proven experience as a Data Engineer
Significant experience in a senior role
Solid understanding of data modeling
Strong problem-solving skills and attention to detail