(15h Left) Data Engineer

3 days ago

Bengaluru, India People Prime Worldwide Full time

Job Title: Senior Data Engineer Skills: Data Engineering, AgenticAI, Python, SQL, Api’s, Azure cloud services, SQL and NoSQL ,Docker, Kubernetes. Location: Pan India Job Type: Full-Time Experience Level: 4-11 Years About the Role: We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in Python, Azure, CI/CD, deployment, and writing efficient data pipelines. You will be responsible for designing, developing, and maintaining robust data infrastructure and pipelines that support our data-driven decision-making processes. Key Responsibilities: · Data Pipeline Development: Design, develop, and maintain efficient and scalable data pipelines using Python and Azure tech stack. · Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs. · Documentation: Create and maintain comprehensive documentation for data pipelines, processes, and solutions. · Troubleshooting: Identify and resolve data-related issues and bottlenecks. Qualifications: · Education: Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent in related field. · Experience: 6-8 years of experience in data engineering, with a strong focus on Python, Azure, CI/CD, and deployment. · Technical Skills: · Proficiency in Python, Api’s for data processing and automation. · Extensive experience with Azure cloud services (Azure Data Factory, Azure Databricks, Azure SQL Database, etc.). · Understanding of CI/CD principles and tools (e.g., Jenkins, GitLab CI/CD). · Understandin with containerization and orchestration tools (e.g., Docker, Kubernetes). · Knowledge of SQL and NoSQL databases. · Familiarity with data warehousing concepts and technologies. · Soft Skills: · Excellent problem-solving and analytical skills. · Strong communication and collaboration abilities. · Ability to work independently and as part of a team. · Detail-oriented with a focus on quality and accuracy. Preferred Qualifications: · Experience with big data technologies (e.g., Hadoop, Spark). · Knowledge of machine learning and data science concepts. · Certification in Azure or other relevant technologies. Benefits: · Competitive salary and performance-based bonuses. · Health, dental, and vision insurance. · Retirement savings plan with company match. · Professional development opportunities. · Flexible working hours and remote work options.

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