Job Details:
- Role: Data Engineer.
- Location: LATAM.
- Experience: 2 to 4 years.
- Employment Type: Full-time.
About OFI Services:
- At OFI Services, we are committed to driving innovation through data, technology, and human insight.
- Our global teams collaborate to deliver transformative solutions that empower smarter decisions and operational excellence.
- As we continue to expand our digital capabilities in India, we are looking for forward-thinking professionals who can shape the future of intelligent automation and AI within our organization.
Role Overview:
- We are looking for a Data Engineer to join our AI and analytics team.
- This role is for professionals who can design ETL pipelines, build data models, and deploy AI and ML solutions across business units.
- This position requires a strong technical foundation, problem-solving mindset, and the ability to collaborate across teams to turn business challenges into intelligent, data-driven solutions.
- You will collaborate with senior consultants and cross-functional project teams to scope, design, build, and deploy AI-enabled data and analytics solutions using customer data.
- The role involves developing and maintaining scalable data pipelines, designing ETL workflows, integrating data from multiple sources, and enabling seamless data ingestion into cloud platforms.
Key Responsibilities:
- Build data pipelines and deploy AI/ML solutions to solve business challenges across different domains.
- Develop end-to-end AI/ML workflows including data ingestion, transformation, deployment, and monitoring.
- Design and optimize ETL processes for seamless data integration across cloud and analytics platforms.
- Integrate AI/ML models into production systems using APIs and microservices.
- Monitor data quality, pipeline performance, and model reliability to ensure scalability and efficiency.
- Contribute to data engineering standards, governance practices, and secure data management.
Required Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- 2-4 years of experience in AI/ML or data-related roles.
- Strong proficiency in Python and familiarity with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) and AI frameworks.
- Practical knowledge of data preprocessing, model optimization, and evaluation techniques.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).
- Understanding of MLOps concepts and version control systems (Git).
- Working experience of SQL/NoSQL databases and data pipeline management tools.
- Strong problem-solving mindset and willingness to learn.
- Good communication and collaboration skills.
- Business analysis.
Preferred Skills:
- Strong understanding of data engineering concepts including ETL/ELT, data pipelines, and data warehousing.
- Proficiency in SQL and Python along with exposure to Generative AI, NLP, or LLM-based applications.
- Experience with pipeline orchestration tools such as Apache Airflow, Azure Data Factory, or similar platforms.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Exposure to big data technologies like Spark, Kafka, or Databricks.
- Understanding of data quality, governance, and security best practices.
- Familiarity with APIs, Git, Docker, etc.
What You’ll Gain:
- Hands-on experience working on real-world projects.
- Mentorship from senior consultants and technical leads.
- Exposure to client-facing consulting environments.
- Opportunities to build expertise in emerging AI technologies.
- A structured learning and growth path within the organization.
