This role is for one of the Weekday's clients Salary range: Rs 500000 - Rs 1000000 (ie INR 5-10 LPA) Experience: 3 yrs Location: Hyderabad Job Type: full-time We are looking for a highly motivated and experienced Data Engineer with strong expertise in Snowflake, Data Warehousing, Python, and ETL/ELT development. The ideal candidate will be responsible for designing, developing, and maintaining scalable data platforms that enable efficient data processing, reporting, and analytics across the org.
Develop next-generation AI and machine learning solutions for mobility and transportation systems. Extract insights from large-scale mobility datasets, build predictive models, develop proof-of-concept applications and collaborate with engineering and DevOps teams on innovative AI projects.
Develop advanced machine learning and deep learning models to solve business challenges. Work on predictive analytics projects, optimize models, collaborate with stakeholders and utilize GCP tools including Vertex AI and BigQuery. Support healthcare and insurance domain analytics initiatives.
RESPONSIBILITIES SKILLS REQUIRED Build automated pipelines from TikTok Seller Center - live dashboards, no manual exports. Script and configure API-based automation flows (Make, Zapier, Python) from scratch. Use Claude AI daily to accelerate analysis, write code, and generate report narratives. Own the Growth team's full reporting cadence - weekly, monthly, ad-hoc. Support TikTok Shop daily operations: monitor KPIs, flag anomalies, coordinate data needs. Present insights and strategy to C-level.
Position Description: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that help.
Participate in a 12-month apprenticeship program supporting Credit and Fraud Risk teams. Assist in analytics, reporting, product enhancement initiatives, data quality improvement, risk management activities, and business growth projects. Gain exposure to product lifecycle management, data governance, fraud prevention, and customer risk analytics.
Participate in a 12-month apprenticeship program supporting Credit and Fraud Risk teams. Assist in analytics, reporting, product enhancement initiatives, data quality improvement, risk management activities, and business growth projects. Gain exposure to product lifecycle management, data governance, fraud prevention, and customer risk analytics.
Build AI-powered applications using Python and modern AI frameworks. Develop APIs, integrate large language models, optimize prompts, manage vector databases, and support intelligent automation solutions.
Develop cloud-native applications using Python and AWS technologies. Design scalable architectures, build APIs, optimize performance, and support deployment and monitoring of production systems.
Develop automation frameworks and testing solutions using Python. Automate business processes, improve testing efficiency, integrate CI/CD pipelines, and support quality engineering initiatives across projects.