Senior Data Engineer – Build Scalable Data Pipelines

About the role

Humain Dev Systems is seeking an experienced Senior Data Engineer to design, build, and maintain scalable data solutions that support business, analytics, and product initiatives. The role requires strong technical expertise, collaboration with cross‑functional teams, and ownership of end‑to‑end data pipelines.

Key responsibilities

• Design, build, and maintain reliable ETL/ELT pipelines and data workflows.
• Develop and optimise data architectures for large‑scale processing and analytics.
• Collect, transform, integrate, and manage data from multiple internal and external sources.
• Design and maintain data warehouses, data lakes, and other storage solutions.
• Ensure data quality, consistency, integrity, and availability across systems.
• Monitor performance, troubleshoot issues, and implement logging and alerting.
• Collaborate with software engineers, analysts, BI specialists, and product teams.
• Participate in architecture discussions and provide technical guidance.
• Maintain documentation for data architecture, pipelines, and processes.

Required profile

• Minimum 4 years of professional experience in data engineering or a similar role.
• Strong knowledge of SQL and relational databases.
• Proficiency in Python (or another data‑engineering language).
• Hands‑on experience designing and maintaining ETL/ELT pipelines.
• Experience with data warehouses, data lakes, and large‑scale processing.
• Understanding of data modelling and database design principles.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
• Good communication, collaboration, and English proficiency (B2+).

Required skills

• SQL
• Python
• ETL/ELT pipeline development
• Data warehousing (e.g., Snowflake, Redshift, BigQuery)
• Data lakes
• Cloud platforms (AWS, Azure, GCP)
• Version control (Git)
• Apache Airflow
• Apache Spark
• Kafka
• dbt
• Databricks
• Docker
• Kubernetes
• CI/CD processes
• Data governance and security practices