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Senior Technical AI Data Engineer - Python / SQL

Senior Technical AI Data Engineer - Python / SQL

RazerTech ConsultingHyderabad
6 days ago
Job description

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.

    • (ref : hirist.tech)

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