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Data Engineer
People Prime WorldwideIndore, Madhya Pradesh, India30+ days ago
Job descriptionEducation : 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. Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of machine learning and data science concepts. Certification in Azure or other relevant technologies. 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.
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 :
Preferred Qualifications :
Benefits :
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Data Engineer • Indore, Madhya Pradesh, India
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