Jr Data Engineer with GenAI

Position Description:

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, professionals located in 40 countries. Founded in , 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, professionals located in 40 countries.

Founded in , 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 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: Jr Data Engineer with GenAI
Position: Software Engineer
Experience: 3-6 years of experience
Main location: Hyderabad
Employment Type: Full Time

Essential skills: 

. Looking for a Data Engineer to analyze new data system requirements and implement efficient data migration models.
.

Design, develop, and deploy generative AI solutions using advanced models for use cases like text generation, summarization, and personalization.
. Build and optimize scalable data pipelines for preprocessing, model training, and deployment, with strong programming skills in Python and experience in frameworks like LangChain, MCP Servers,
. Hands on experience working with RAG, vector databases, prompt engineering.
.

Develop frameworks, libraries, and templates to enable consistent and efficient creation of feature pipelines across teams.
. Define, document, and enforce standards for data schemas and pipeline development.
. Guide Management Information Systems (MIS) teams in implementing reliable feature pipelines and robust data validation mechanisms.
.

Own and manage the processes for feature registration, discovery, lineage, and versioning.

Bachelor’s degree in computer science, computer engineering, or relevant field.
3+ years of hands-on experience in data engineering roles,
Strong programming skills in Python, with experience building scalable data pipelines.
Hands-on expertise with Apache Spark / PySpark and SQL for large-scale data processing.
Solid background in data analysis, performance optimization, and tuning of distributed data systems.
Proficiency in workflow orchestration tools such as Apache Airflow.
Understanding of performance engineering and data platform scalability.
Excellent problem-solving skills and ability to work across cross-functional teams.
Knowledge of data governance, security, lineage, and compliance in enterprise environments.
Contributions to open-source data projects or cloud data migration tools.
Strong knowledge data architecture in banking domain.
Excellent organizational and analytical abilities.
Outstanding problem solver.
Good written and verbal communication skills

#LI-SK50

Required qualifications to be successful in this role:

Must have Skills:
Python,
Hands-on expertise with Apache Spark / PySpark and SQL,
Design, develop, and deploy generative AI solutions using advanced models,
workflow orchestration tools such as Apache Airflow.

Nice to Have Skills:
Knowledge of data governance, security, lineage, and compliance in enterprise environments.
Contributions to open-source data projects or cloud data migration tools.
Strong knowledge data architecture in banking domain.
Excellent organizational and analytical abilities.
Outstanding problem solver.
Good written and verbal communication skills.

Skills: