AI Engineer

Position Description:

Job Title: Data EngineerExperience Level: 5 YearsLocation: Hyderabad

Job Summary
We are looking for a seasoned and innovative Senior Data Engineer to join our dynamic data team. This role is ideal for professionals with a strong foundation in data engineering coupled with hands-on experience in machine learning workflows statistical analysis and big data technologies. You will play a critical role in building scalable data pipelines enabling advanced analytics and supporting data science initiatives. Proficiency in Python is essential and experience with PySpark is a strong plus.

Key Responsibilities

Data Pipeline Development: Design and implement scalable high-performance ETL/ELT pipelines using Python and PySpark.
ML & Statistical Integration: Collaborate with data scientists to integrate machine learning models and statistical analysis into data workflows.
Data Modeling: Create and optimize data models (relational dimensional and columnar) to support analytics and ML use cases.
Big Data Infrastructure: Manage and optimize data platforms such as Snowflake Redshift BigQuery and Databricks.
Performance Tuning: Monitor and enhance the performance of data pipelines and queries.
Data Governance: Ensure data quality integrity and compliance through robust governance practices.
Cross-functional Collaboration: Partner with analysts scientists and product teams to translate business needs into technical solutions.
Automation & Monitoring: Automate data workflows and implement monitoring and alerting systems.
Mentorship: Guide junior engineers and promote best practices in data engineering and ML integration.
Innovation: Stay current with emerging technologies in data engineering ML and analytics.


Required Qualifications

Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
5 years of experience in data engineering with a strong focus on Python and big data tools.
Solid understanding of machine learning concepts and statistical analysis techniques.
Proficiency in SQL and Python; experience with PySpark is highly desirable.
Experience with cloud platforms (AWS Azure or GCP) and data tools (e.g. Glue Data Factory Dataflow).
Familiarity with data warehousing and lakehouse architectures.
Knowledge of data modeling techniques (e.g. star schema snowflake schema).
Experience with version control systems like Git.
Strong problem-solving skills and ability to work in a fast-paced environment.
Excellent communication and collaboration skills.

Skills:

• English
• Data Engineering
• Python
• SQLite
• Statistical Analysis

What you can expect from us:

Together as owners lets turn meaningful insights into action.

Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because

You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.

Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our teamone of the largest IT and business consulting services firms in the world.