Data Engineer
Job details
Company Description YMAK IMMIGRATION OPC PRIVATE LIMITED specializes in handling visa and immigration applications for various countries, providing insightful recommendations for successful visa processing. The company believes in guiding individuals according to their interests and requirements to achieve the best-case scenario. YMAK works closely with applicants to fulfill their dreams. Role Description This is a full-time remote role for a Data Engineer at YMAK IMMIGRATION OPC PRIVATE LIMITED. The Data Engineer will be responsible for tasks such as data engineering, data modeling, ETL processes, data warehousing, and data analytics on a day-to-day basis. Job Responsibilities:-
- Design, build, and maintain scalable, robust, and efficient data pipelines to collect, process, and transform large volumes of data from various sources.
- Ensure data pipelines are optimized for performance and reliability.
- Integrate data from multiple, diverse sources, including APIs, databases, and third-party data providers.
- Implement data extraction, transformation, and loading (ETL) processes.
- Design and implement database solutions, including relational and NoSQL databases, to store structured and unstructured data.
- Manage and optimize databases for performance, scalability, and security.
- Develop and maintain data warehouses and data lakes that provide a unified view of data across the organization.
- Optimize storage and retrieval of data to support business intelligence and analytics needs.
- Implement and enforce data quality standards, ensuring data is accurate, consistent, and accessible.
- Establish data governance practices to ensure compliance with regulations and policies.
- Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet those needs.
- Collaborate with software engineers to integrate data solutions into applications and systems.
- Automate repetitive tasks and develop monitoring tools to ensure data pipelines and systems run smoothly.
- Troubleshoot and resolve issues related to data processing and performance.
- Implement data security measures, including encryption, access controls, and compliance with data privacy regulations (e.g., GDPR, HIPAA).
- Monitor and audit data usage to ensure compliance with internal and external standards.
- Continuously evaluate and optimize data processes for efficiency and scalability.
- Implement best practices in data engineering to enhance system performance.
- Create and maintain comprehensive documentation of data engineering processes, data models, and infrastructure.
- Provide regular reports and insights to stakeholders on data-related activities and performance.
- Stay up-to-date with emerging data technologies and tools, evaluating their potential impact and adopting them as needed to improve data engineering processes.
- Data Engineering and Data Modeling skills
- Experience with Extract Transform Load (ETL) processes
- Data Warehousing and Data Analytics skills
- Strong problem-solving and analytical abilities
- Proficiency in programming languages like SQL, Python, or Java
- Knowledge of machine learning and statistical analysis
- Excellent communication and teamwork skills
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
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