Design and implement Medallion architecture within the Snowflake Data Cloud to manage data pipelines. Build and maintain IDMC pipelines while orchestrating processes using Control-M.

Requirements

Requires over 8 years of data engineering experience, including at least 4 years of hands-on expertise with Snowflake. Proficiency in Python, SQL, and CI/CD practices via Azure DevOps is essential.

Experience

10+ years

Working hours

40 hours per week

Job type

Contract

Work arrangement

On-site

Skills

Snowflake
Data Engineering
Data Warehousing
Medallion Architecture
Python
SQL
Stored Procedures
CI/CD
Git
Azure DevOps
IDMC
Power BI
Qlik
Control-M
Data Architecture
Client Communication

Visa sponsorship

Not detected in the job text

Keywords

Snowflake
Data Engineering
Data Warehousing
Medallion Architecture
Python
SQL
Stored-proc
CI/CD
Git
Azure DevOps
IDMC
Power BI
Qlik
Control-M
Railway Industry
Data Architecture
Process Orchestration
Data Pipelines

Original job description

JOB Description:

8+ years of experience in data engineering, data warehousing, and data architecture.
4+ years of hands-on, in-depth experience with Snowflake Data Cloud.
Proven, demonstrable experience designing and implementing Medallion architecture in a production environment.
Proficient in use of Python, SQL, Stored-proc for transformation.
Excellent communication and client-facing skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Experience with CI/CD practices for data pipelines using Git, Azure DevOps.
Expertise in using and building IDMC pipelines.
Familiarity with reporting tools such as POWER BI and QLIK.
Working knowledge of integration with Control-M to enable process orchestration.
Familiarity with the railway industry and an understanding of operation data will be preferred.

Apply by Oct 3, 2026

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