Company Profile: - At CGI, we're a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we're a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.
Job Title: Data Architect
Position: Software Engineer (SE)/Senior Software Engineer (SSE)
Experience: 12 years to 14 Years
Category: zINACTIVE - Information Technology
Main location: Bangalore
Position ID: J0825-0116
Employment Type: Full Time
: - Data Architect: -
Tools & Technologies:
Data Platforms: Snowflake, DBT, Airflow
BI Tools: Power BI, ThoughtSpot
ETL/Reverse ETL: Fivetran, Hightouch
Programming: Python, ML Libraries
CI/CD & DevOps: Git, automated testing frameworks related to data
Automation: Power Platform
Experience:
Deep understanding of data governance, quality frameworks, and maturity models.
Proven experience in building secure, scalable, and automated data platforms
Expertise in: Designing and automating data validation and quality checks Implementing lineage tracking, access control, and metadata catalogs Standardizing CI/CD practices across environments Driving adoption of BI tools like ThoughtSpot and Power BI Aligning AI/ML capabilities with business objectives
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