Data Engineer

Who We Are Looking For:

• Design, build, and maintain scalable data pipelines to support business analytics and data science activities.
• Utilize proper judgment in identifying data-related issues and escalate to specialized teams when necessary.
• Work with cross-functional stakeholders to gather requirements and translate business needs into technical data solutions.
• Manage data ingestion from multiple sources including APIs, databases, and cloud platforms.
• Ensure data integrity, quality, and governance while following organizational policies and compliance standards.
• Perform data modeling, ETL/ELT pipeline development, and data warehouse optimization.
• Monitor and troubleshoot performance issues with data systems and implement necessary improvements.
• Support storage and processing of large-scale datasets using cloud services and distributed systems.
• Maintain documentation for data workflows and provide guidance to data consumers across the organization.
• Stay updated with emerging data engineering technologies and contribute to continuous improvements.

Skills:

• Data Engineering
• ETL/ELT Development
• SQL & NoSQL Databases
• Data Modeling
• Python / Scala
• Data Pipeline Automation
• Cloud Data Platforms (AWS / Azure / GCP)
• Big Data Tools (Spark, Hadoop, Kafka)
• API Integration
• Linux / Shell Scripting
• CI/CD, Git, Docker
• Monitoring & Troubleshooting
• Snowflake / Redshift / BigQuery (Preferred)
• Data Governance & Security

Top Skills Details:
Data pipelines, SQL, Python, ETL, Data warehouse, AWS/Azure/GCP, Spark, Kafka, Database administration, Performance optimization.

Additional Skills & Qualifications:

• Strong analytical thinking and problem-solving skills.
• Willingness to learn new technologies rapidly.
• Ability to handle multiple tasks in a fast-paced environment.
• Excellent documentation and collaboration skills.

Experience Level: Intermediate Level