Data Ops

Interested candidates, kindly mail to Main Purpose:Responsible for managing and optimizing data pipelines and workflows using DataOps principles.Ensure seamless data integration and engineering across structured, semi-structured, and unstructured data sources.Implement data quality, validation, and monitoring processes to maintain data integrity.Develop and maintain automation and CI/CD pipelines for data workflows.Manage databases and storage solutions to support scalable data infrastructure.Operate within cloud, on-premise, and hybrid environments to ensure data platform resilience.Ensure data security, governance, and compliance across all data operations.Enhance performance and reliability of data systems through optimization and tuning.Collaborate with stakeholders to enable effective data-driven decision-making.Exhibit strong problem-solving skills in a mission-critical operational environment.Job Accountabilities:Design, build, and maintain reliable data pipelines for batch and streaming data.Integrate data from multiple sources using ETL/ELT frameworks and APIs.Implement and monitor data quality checks, validation rules, and reconciliation processes.Develop pipelines and automate data workflows using scripting languages.Manage SQL and NoSQL databases, data warehouses, and data lakes.Support data infrastructure in cloud, on-premise, and hybrid environments.Ensure compliance with data security, access control, and regulatory requirements.Optimize data pipelines for performance, cost, and reliability.Collaborate with data engineers, scientists, analysts, and business teams.Document data flows, pipelines, and operational runbooks effectively.Skills Required:Strong understanding of DataOps principles and pipeline management.Proficiency in data integration and engineering with ETL/ELT frameworks.Expertise in data quality, validation, and monitoring techniques.Experience in automation and CI/CD for data workflows.Knowledge of SQL, NoSQL databases, and storage solutions.Familiarity with cloud, on-premise, and hybrid data environments.Understanding of data security, governance, and compliance.Skills in performance and reliability engineering for data systems.Strong collaboration and stakeholder management abilities. Excellent analytical, troubleshooting, and problem-solving skills.Experience Required:Minimum of 5 years of experience in data operations and pipeline management.Hands-on experience with data integration, quality, and automation processes.Proven track record in managing databases and scalable data infrastructure.Experience in working with cloud, on-premise, or hybrid data platforms.Preferred Educational Qualification:Bachelor’s degree in Information Technology, Computer Science, or a related field.Interested candidates, kindly mail to

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