Data Engineer

Job Description Roles & Responsibilities Duties and Responsibilities: The Data Engineer will perform the following tasks: Design, build, and maintain ETL/ELT pipelines. Automate data ingestion from various sources (databases, APIs, streaming services). Implement data validation and quality checks. Use platforms like Azure for cloud-based data solutions. Work with Data Scientists and Full stack Web Developers to provide clean, reliable data. Create and maintain comprehensive technical documentation, including user manuals, training materials, and product specifications, also developing functional specifications. Provide ongoing support for deployed pipelines including version control, data recovery processes, and deployment strategies. Research emerging technologies and industry trends, staying up to date with developments in the field, and actively assisting in testing and evaluating new products, tools, and technologies. Desired Candidate Profile A minimum high school diploma with a certification or degree in Information Systems, Information Technology, Computer Science, Statistics or related area is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 5 years of professional experience with Python, SQL, cloud environments container orchestration (Kubernetes), and DevOps automation is required. Excellent analytical, problem-solving, and communication skills are required. Knowledge in database design, and development using MS SQL Relational Database is required. Strong familiarity with semantic modeling, knowledge graphs, and AI/ML integration for data systems is desirable. Company Industry NGOSocial ServicesCommunity ServicesNon-Profit Department / Functional Area IT Software Keywords Data Engineer Get real-time job updates only on our App