Chief Data Infrastructure Specialist

3 days ago


Chennai, Tamil Nadu, India Cynosure Corporate Solutions Full time

We are seeking a highly skilled Chief Data Infrastructure Specialist to join our team at Cynosure Corporate Solutions. In this role, you will be responsible for designing and implementing robust data pipelines using Databricks, Azure Analysis Services (AAS), and Azure Data Factory.

The ideal candidate will have 3-5 years of experience in data engineering or a similar role and possess strong proficiency in Databricks, Azure Analysis Services, and Azure Data Factory. They should also have expertise in data modeling, ETL processes, and data transformation techniques.

Our company offers a competitive salary range of $120,000 - $180,000 per annum, depending on experience. Additionally, we provide a comprehensive benefits package, including medical, dental, and vision insurance, as well as a generous paid time off policy.

The successful candidate will be responsible for:

  • Designing and developing efficient data pipelines
  • Performing data modeling and transformation to ensure data quality and consistency
  • Implementing and optimizing ETL processes
  • Ensuring data accessibility and compatibility with various business intelligence and reporting tools
  • Managing and optimizing cloud solution operations

The requirements for this position include:

  • 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 and CI/CD pipelines
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to explain complex technical concepts
  • Experience with Python, Scala, or other programming languages commonly used in data engineering
  • Familiarity with big data technologies such as Hadoop, Spark, or Hive

The salary for this position is estimated to be around $145,000 per annum, based on industry standards and the required skills and qualifications.



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