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Senior Data Engineer
3-5 years
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Senior Data Engineer
Cynosure Corporate Solutions
posted 1d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Design, develop, and maintain robust data pipelines using Databricks, Azure Analysis Services (AAS), and Azure Data Factory.
- Perform data modeling and transformation to ensure data quality and consistency across systems.
- Implement and optimize ETL processes for efficient data flow.
- Ensure data accessibility and compatibility with various business intelligence and reporting tools, facilitating seamless integration between cloud-based data services and end-user analytics platforms.
- Manage and optimize cloud solution operations, focusing on performance, scalability, and cost-effectiveness.
- Collaborate with cross-functional teams to understand data needs and provide solutions.
- Implement data governance and security best practices.
- Continuously improve data pipeline architecture and processes.
RequirementsSkills & Experience
- 3-5 years of experience in data engineering or a similar role.
- Strong proficiency in Databricks, Azure Analysis Services, and Azure Data Factory.
- Expertise in data modeling, ETL processes, and data transformation techniques.
- Solid understanding of cloud computing concepts and experience with Azure cloud services.
- Proficiency in SQL and experience with NoSQL databases.
- Knowledge of data visualization tools and reporting requirements.
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
- Experience with Python, Scala, or other programming languages commonly used in data engineering.
- Familiarity with big data technologies such as Hadoop, Spark, or Hive.
- Knowledge of data governance and compliance requirements.
- Certifications in relevant Azure technologies or data engineering.
- 3-5 years of experience in data engineering or a similar role.
Employment Type: Full Time, Permanent
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