Data Engineer  

Job Description:

• Design, build, and maintain scalable data pipelines and ETL/ELT processes

• Develop and optimize data architectures, data lakes, and data warehouses

• Collect, process, and clean large datasets from various sources (structured and unstructured)

• Ensure data quality, integrity, and reliability across all data systems

• Collaborate with data scientists, analysts, and stakeholders to support data needs

• Implement data models and database schemas to support business requirements

• Monitor and troubleshoot data pipeline performance and failures

• Optimize data storage and retrieval for performance and cost-efficiency

• Integrate data from third-party APIs, cloud services, and internal systems

• Apply best practices in data governance, security, and compliance

• Automate workflows and data processing tasks using scripting and orchestration tools

• Maintain documentation for data pipelines, systems, and processes

• Work with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure)

• Support real-time and batch data processing systems

Requirements :

• Has 3 years of experience as an ETL Developer or Data Engineer or similar positions.
• Proven experience in ETL design, development, and optimization.
• Has experience handling Migration Cloud Platform.
• Hands-on experience with SQL Server Integration Services (SSIS).
• Strong proficiency in SQL and experience working with relational and NoSQL databases.
• Experience in data integration, transformation, and data pipeline orchestration.