Cybryne It Services And Consulting Private

Senior Snowflake Data Engineer

Cybryne It Services And Consulting Private

Chennai, Tamil Nadu, India · Full Time

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Experience
Any
Salary
INR 600,000 – INR 1,200,000 / year
Openings
1
Posted
1 week ago
Work mode
In office
Education
Any graduate
Eligibility
Applicants must hold a graduate degree to be considered eligible.
Resume
Required to apply

Where you'll work

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Job description

About the Role

We are seeking a skilled Snowflake Data Engineer to contribute to a new project involving building a data warehouse from the ground up for a US-based healthcare services client. The position requires close collaboration with the lead architect and the client's team, with ownership of significant portions of the build.

Primary Responsibilities

  • Transfer source files from FTP/SFTP to Azure Blob Storage and load them into Snowflake.
  • Design and develop data warehouse layers, including raw, staging, and curated zones.
  • Create SQL scripts and dbt-based transformations and data models to support dashboards, analytics, and application needs.
  • Implement data quality validations, testing procedures, documentation, and maintain a data catalog.
  • Participate actively in scrum sprints, attend daily meetings with the client team, and communicate progress transparently.

Requirements

  • Hands-on experience working in production environments with Snowflake.
  • Proficiency in advanced SQL and data modeling techniques, including dimensional modeling and Slowly Changing Dimensions (SCD) Type 1 and 2.
  • Familiarity with dbt or comparable data transformation frameworks.
  • Experience ingesting data from file sources and cloud storage, preferably Azure Blob Storage.
  • Strong habits in version control with Git, testing methodologies, and documentation practices.
  • Fluent spoken English and confidence in addressing technical questions during client interactions.

Desirable Skills

  • Knowledge of Snowflake Streams and Tasks.
  • Experience with Airflow or similar workflow orchestration tools.
  • Exposure to Azure Data Factory.
  • Background in healthcare data management.

Terms and Working Conditions

  • Commitment of 40 hours per week exclusively for this project.
  • Work schedule corresponds to US Central business hours, approximately 6:30 PM to 3:30 AM IST, Monday through Friday (night shift).
  • Initial contract duration of 6 months with possible extensions.
  • Time tracking through the client's contracting platform using your own identity.
  • Signing a confidentiality agreement with the client is mandatory.
  • Availability to commence work within one to two days after selection.

Eligibility

Any graduate degree holder is eligible to apply.

Minimum education

Bachelor's Degree

Tools & software

Git required Snowflake · 2 to 5 years required dbt required

How they work

Communication Teamwork & Collaboration Time Management Customer Focus Accountability

Languages

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