Senior Data Engineer Lead – APAC Region
Gratitude IncSenior Data Engineer Lead – APAC Region
Job Description
Key Skills
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Category: ERP/CRM/Tools
Work set up: Hybrid in Taguig (1-2 days/week onsite)
Work shift: Mid-shift
Experience: 5+ years
No. of headcount/s: 1
Non-negotiable:
• 5+ years in data engineering, with 2+ years in technical leadership role
• Strong experience with SnapLogic (experience in Snowflake is a great advantage)
• Expert in SQL
• Understanding of DW ETLELT tools
• Experience with Coalesce and FiveTran are nice to have
• Should not be a job hopper who only stays for less than a year per company
• Must not be a present or former employee of CGI
Role Overview
We are looking for experienced Senior Data Engineer Leads based offshore to drive data integration architecture and execution across two enterprise-scale IT initiatives. This role will focus on designing scalable pipelines between client data sources and external platforms using SnapLogic Data Integration and Coalesce, while ensuring smooth global collaboration across regions including EMEA and the Americas.
Key Responsibilities
• Lead data integration design and implementation across multiple systems and into DW
• systems using SnapLogic and Coalesce and between Fivetran and SnowFlake
• Architect high-performance, reusable Data Integration workflows including data extraction, transformation, quality improvement as needed, and enrichment/curation
• Facilitate seamless handoffs and collaboration protocols with global teammates and stakeholders
• Participate in planning meetings, sprint reviews, and architecture discussions with global teams
• Champion best practices in pattern-based, metadata driven approach (as appropriate), efficient and optimized data integration design and implementation, proper documentation, data governance, and cross-regional knowledge sharing
• Mentor junior engineers across the region and support continuous learning within the team
• Identify and resolve performance bottlenecks and integration issues across geographies
Required Skills & Experience:
• 5+ years in data engineering, with 2+ years in technical leadership role
• Strong experience with SnapLogic, and Snowflake
• Expert in SQL
• Understanding of DW ETLELT tools and experience with Coalesce (nice to have), FiveTran (Nice to have) Proven track record in global team collaboration, especially across APAC and Western time zones
• Hands-on experience with Python, and major cloud platforms (AWS, Azure, or GCP)
• Deep understanding of integration frameworks, REST APIs, and real-time data streaming
• Exceptional communication skills with cultural agility and stakeholder empathy
Preferred Qualifications
• Relevant certifications in ETL/ELT tools, cloud architecture, or data engineering such as: Google Cloud Professional SnapLogic Certification Coalesce Academy Certification Fivetran Partner Certification Snowflake certification (SNoPro)
• Familiarity with large-scale IT project delivery in distributed environments
• Experience supporting handoffs between India and North America/Europe-based teams
Skills:
Analytical Thinking
Snowflake
Python
SQLite
PRE SCREENING QUESTIONS:
- How many years of data engineering experience do you have?
2, How many years in technical leadership role? - Do you have a strong experience with SnapLogic?
- Rate your expertise in SQL from 1 to 10, 10 is the highest:
- How many years of experience in using of DW ETLELT tools?
- How many years of experience in global team collaboration, especially across APAC and Western time zones?
- How much is your last drawn salary?
- How much is your salary expectation?
- Are you amenable to work on a hybrid set up in Taguig with a mid shift schedule?
- When are you available to start once hired?
Role
Engineering - Software
Timings
Flexible (Permanent)
Industry
IT-Software / Software Services
Work Mode
Hybrid
Process
Non-Voice
Functional Area
IT Software/Hardware
Note: Myglit doesn't charge any money from candidates. If you have been asked to pay money to get this job then report to us immediately at support@myglit.com.
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