Senior Technical AI Data Engineer - Python/SQL

RazerTech Consulting is mandated to hire for a Sr. Technical AI Data Engineer for a US-based Strategy Consulting, Investment Banking Advisory firm.

Location : Hyderabad | Initial 3-4 months Remote, later transitioning into Hybrid setup

Position Summary :

We are looking for a skilled and highly motivated Technical Data Engineer to join our fast growing data team at a pivotal moment. In this role, you will have the opportunity to build and shape critical components of our data infrastructure - not entirely from scratch, but close to it.

Responsibilities :

- Gain a comprehensive understanding of current data sources, pipelines, and storage systems.

- Design, build, and maintain scalable ETL/ELT pipelines to automate the movement of data from diverse sources to a centralized data warehouse.

- Optimize data pipelines for performance, reliability, and maintainability.

- Ensure data is validated, transformed, and stored in formats that meet analytical needs.

- Analyze existing data origin sources (internal databases, third-party APIs, web-based systems) to assess structure, quality, and reliability.

- Define and document data architecture, recommending improvements to support current and future data needs.

- Collaborate with stakeholders to align technical solutions with business requirements.

- Apply data wrangling techniques to prepare raw data for analysis, including handling missing values, data deduplication, and schema standardization.

- Ensure data integrity and implement logging, alerting, and monitoring for all data workflows.

- Partner with Data Analysts and business Stakeholders to support A/B testing frameworks and provide infrastructure for

running experiments.

- Enable self-service reporting and analysis by ensuring well-documented, accessible datasets.

- Assist in the development of dashboards and reports using tools like Tableau or Power BI.

- Support the data team in presenting key metrics and insights in a visually compelling way.

- Continuously identify and integrate new data sources -internal or external - to enhance business insights and competitive edge.

- Deploy systems to monitor data quality, pipeline health, and job failures proactively.

- Design and implement automated pipelines to ingest and process data from key sources.

- Stay current with advancements in AI technologies, frameworks (e.g., TensorFlow, PyTorch), and large language models (LLMs) to inform architectural decisions and promote innovation.

- Ensure data is clean, validated, and ready for use by analysts and stakeholders.

- Document existing workflows and identify quick wins for optimization.

- Take initiative and ownership of projects from concept to deployment, demonstrating a builder's mindset.

Qualifications :

- A bachelor's degree in Engineering, Data Science, or related field is required. Masters degree highly preferred.

- 5+ years experience in a relevant Technical Data Engineer position, machine learning, deep learning, or AI systems engineering.

- Proficient in SQL and at least one programming language (e.g., Python).

- Experience with data pipeline tools (e.g., Airflow, dbt, Apache Beam, etc.).

- Familiarity with cloud platforms (AWS, GCP, Azure) and data warehouses (e.g., Snowflake, BigQuery, Redshift).

- Experience with frameworks like BeautifulSoup, Scrapy, or Selenium.

- Experience in training, fine-tuning, and deploying large language models (LLMs) or transformer-based architectures (e.g., BERT, GPT, LLaMA)

- Knowledge of A/B testing frameworks and visualization tools (e.g., Tableau, Power BI).

- Experience designing and implementing scalable ML pipelines using tools like MLflow, Kubeflow, Airflow, CI/CD pipelines for model deployment.

- Strong problem-solving skills and the ability to work in a fast-paced environment.

- Experience in an entrepreneurial or start up environment preferred.

- Demonstrated leadership capabilities, able to effectively communicate and collaborate with members at all levels of the company.