Sr. Data Engineer aspire

About the Role

• Design and implement full ETL/ELT pipelines from data ingestion to transformation and delivery.
• Develop scalable and maintainable data workflows using Python.
• Integrate data pipelines with multiple internal systems and modules.
• Work with cloud-based data warehouses such as Snowflake or BigQuery.
• Optimize SQL queries and ensure high-performance data processing.
• Apply best practices in data engineering and data warehousing architecture.
• Troubleshoot and resolve production data issues.
• Contribute to CI/CD and deployment processes for data pipelines.

What You'll Need

• Strong experience with Python (most critical requirement).
• Very strong SQL skills (query optimization, joins, aggregations, performance tuning).
• Experience with cloud data warehouses such as Snowflake or BigQuery.
• Solid understanding of data engineering principles, ETL/ELT architecture, and data warehouse concepts (fact/dimension modeling, partitioning, indexing).
• Around 5 years of experience in data engineering or related roles (flexible for strong candidates).
• Proven experience building production-grade data pipelines.
• Familiarity with Kafka, CDC (Change Data Capture), monitoring tools, Docker, Kubernetes, or CI/CD tooling is a plus.
• Experience with Java is a bonus.
• Strong problem-solving and debugging skills for production data workflows.
• Ability to analyze and improve AI-generated code snippets is a plus.
• Awareness or knowledge of IT security best practices as defined by ISO/SOC or similar.