Live opening · Posted 13 days ago
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Company: AA GLOBUSDIGITAL INDIA PRIVATE LIMITED
AA GLOBUSDIGITAL INDIA PRIVATE LIMITED, is a wholly owned subsidiary of Globus Systems Inc US,
Globus Systems was founded by industry executives who have been part of the IT services industry for the past 20 years and have seen it evolve and mature. We understand the challenges faced by organizations as they prepare for the future. As a technology delivery company, we are focused on helping organizations lay a foundation for their "Tomorrow-Roadmap".
At the heart of any business is the data that drives decisions. Data integrity and security are key drivers for growth. Smart and timely use of technology can help build, streamline and enable data driven decisions that become the backbone of an organization. Business leaders are constantly searching for new solutions, services and partners they can trust with enabling these drivers.
Role: Senior / Principal Data Engineer
Location: PAN India
NP: Immediate Joiners required
Experience:10 to 15 yrs
Work Mode: WFH
CTC: Market Standard
Job Overview
We are looking for a Senior / Principal Data Engineer to independently lead and execute the migration of a direct mail processing system from Microsoft SQL Server to dbt and Snowflake.
This is a hands-on engineering role for someone with strong experience in data architecture, migration, dbt, Snowflake, and SQL. The ideal candidate should be able to design and implement solutions independently, with minimal day-to-day supervision, and escalate only strategic or architectural decisions when required.
Key Responsibilities
Lead the end-to-end migration of data workloads from MS SQL Server to dbt + Snowflake.
Design and implement scalable, maintainable data transformation and modeling solutions using dbt.
Work across dbt Core, dbt Cloud, and dbt Fusion environments.
Perform Snowflake administration, configuration, optimization, and operational troubleshooting.
Analyze existing SQL Server processes and translate them into efficient dbt/Snowflake solutions.
Troubleshoot complex SQL and data issues involving joins, CTEs, window functions, data discrepancies, and performance.
Develop and maintain code using Git/GitHub-based workflows.
Validate data accuracy and integrity throughout the migration process.
Make independent technical decisions and drive implementation with minimal oversight.
Collaborate with stakeholders and provide clear updates on progress, risks, and technical decisions.
Work effectively with AI coding agents and incorporate AI-assisted development into day-to-day engineering workflows.
Required Qualifications
8+ years of hands-on dbt experience, covering dbt Core, dbt Cloud, and dbt Fusion.
Strong hands-on experience with Snowflake administration and operations.
5+ years of MS SQL Server experience.
3+ years of Git/GitHub-based development workflows.
Strong SQL troubleshooting and data analysis skills, including:
Complex joins
CTEs
Window functions
Data discrepancy analysis
Query optimization
Proven experience architecting and executing migrations from MS SQL to dbt and Snowflake.
dbt Analytics Engineer Certification – Mandatory.
Strong written and verbal communication skills.
Ability to work independently and take ownership of technical deliverables.
Preferred Qualifications
12+ years of overall Data Engineering experience.
dbt Architect Certification – Strong Plus.
Experience designing data architecture and migration strategies.
Experience working with AI coding assistants/agents such as Claude Code, GitHub Copilot, or similar tools.
Strong problem-solving and analytical skills.
Work arrangement
No
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