Data Engineer

Role Overview:
- We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics and AI initiatives.

Key Responsibilities:
- Design and build ETL/ELT pipelines for structured and unstructured data.
- Develop and optimize data warehouses and data lakes.
- Ensure data quality, reliability, and governance.
- Collaborate with Data Scientists and Analysts to enable self-service data access.
- Monitor and troubleshoot data pipeline performance.

Requirements:
- 3+ years of experience in data engineering.
- Strong knowledge of SQL and pipeline orchestration.
- Experience with cloud data platforms and distributed computing.
- Understanding of data modeling best practices.

Technical Stack / Tools:
- Python.
- SQL.
- Apache Airflow.
- Spark.
- Kafka.
- Snowflake.
- BigQuery.
- Redshift.
- AWS/Azure/GCP data services.

Location: Remote - Anywhere

Skills required for this job:

• AWS
• Analysis
• Analytics
• Apache Airflow
• Apache Kafka
• Apache Spark
• Azure Data Lake
• BigQuery
• Data engineering
• Data governance
• Data pipelines
• Data quality
• Data science
• Data warehouses
• Distributed computing
• Extract, transform, load (ETL)
• Google Cloud Platform (GCP)
• Microsoft Azure
• Python
• Redshift
• SQL
• Snowflake
• Structured data
• Unstructured data