Data Engineer

• Design, develop, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources.
• Build and optimize batch and real-time data processing systems.
• Ensure data accuracy, consistency, and integrity across platforms.
• Develop and maintain data warehouses, data lakes, and modern data platforms.
• Implement scalable data models and storage solutions.
• Optimize database performance, indexing, partitioning, and query execution.
• Manage and support cloud-based data solutions using platforms such as Azure (must), AWS or Google Cloud (expertise would be an added advantage).
• Automate deployment and infrastructure management using CI/CD and Infrastructure as Code tools.
• Monitor and troubleshoot production data systems.
• Partner with business analysts, data scientists, and stakeholders to understand data requirements.
• Enable self-service analytics through reliable datasets and documentation.
• Support machine learning and advanced analytics initiatives.
• Implement data quality monitoring, validation, and governance practices.
• Ensure compliance with security, privacy, and regulatory standards.
• Maintain metadata, lineage, and documentation for data assets.

Senior Data Engineer

• Monitoring data pipeline health on a daily basis.
• Developing data models.
• Collaborating with stakeholders to identify requirements.
• Ingest data from various data sources.
• Developing dashboards.

Intern – Data Engineer

• Be a conduit between analysts and system developers, collaborate with cross-functional teams to understand data requirements and design efficient data warehouse solutions.
• Build and maintain data pipelines, ETL processes, and data ingestion workflows to ensure data accuracy, completeness, and reliability.
• Perform data profiling, cleansing, and transformation to prepare data for analytics and reporting.
• Monitor and optimize the performance of the data warehouse, addressing any issues or bottlenecks as they arise.
• Ensure data security, compliance, and governance standards are met, including data encryption, access controls, and audit trails.
• Collaborate with Data Analysts to support their analytical needs by providing clean and well structured data.
• Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes.

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Senior Data Engineer

Intern – Data Engineer

Data Engineer