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Data Engineer

Data Engineer

CozzeraBellary, IN
30+ days ago
Job description

Job Title : Senior Data Engineer – AI / ML & Cloud

Experience : 6+ Years

Location : Hybrid (1–2 days / week at any location – Noida, Gurgaon, Pune, Chennai, Bangalore, Hyderabad)

Shift Timing : 11 : 00 AM – 8 : 30 PM IST

Employment Type : Full-Time

About the Role :

We are looking for a highly skilled Senior Data Engineer with strong expertise in AI / ML and cloud data ecosystems . The ideal candidate will design, build, and optimize scalable data pipelines and intelligent analytics solutions that empower advanced data-driven decision-making. This role bridges data engineering with AI / ML deployment and MLOps in a modern cloud-first environment.

Key Responsibilities :

  • Design, develop, and maintain ETL / ELT pipelines for large-scale structured and unstructured data.
  • Build and optimize data models, data lakes, and warehouses on cloud platforms (AWS / Azure / GCP).
  • Partner with data scientists to operationalize ML models and automate model lifecycle workflows ( MLOps ).
  • Implement data validation, quality, and monitoring frameworks to ensure data reliability.
  • Develop feature stores and real-time streaming solutions for AI / ML applications.
  • Collaborate with business and product teams to translate data requirements into scalable engineering solutions.
  • Leverage AI / ML techniques to enhance predictive analytics, data enrichment, and process automation.
  • Manage and optimize data orchestration workflows using Airflow, Databricks, or Prefect.
  • Ensure compliance with data governance, privacy, and security best practices.

Required Skills & Qualifications :

  • Bachelor’s / Master’s degree in Computer Science, Data Engineering , or a related field.
  • 7+ years of experience in data engineering with proven expertise in data pipeline and data lake design.
  • Strong proficiency in Python, SQL, and PySpark for data processing and ML integration.
  • Hands-on experience with cloud data services :
  • AWS : Glue, Redshift, S3, EMR, Lambda
  • Azure : Data Factory, Synapse
  • GCP : BigQuery, Dataflow
  • Solid understanding of the AI / ML lifecycle , including model training, validation, and deployment.
  • Experience with MLOps tools such as MLflow, SageMaker, Kubeflow, or Vertex AI.
  • Proficiency in data orchestration (Airflow, Databricks Workflows) and CI / CD pipelines for data systems.
  • Familiarity with Git , Docker , and Terraform for version control, containerization, and infrastructure automation.
  • Strong analytical thinking, problem-solving , and communication skills.

    • Good to Have :

  • Experience with Generative AI (GenAI) , LLM fine-tuning , or vector databases (Pinecone, FAISS, ChromaDB).
  • Exposure to data observability and lineage tools (Monte Carlo, Databand, etc.).
  • Prior experience working in Agile and DevOps environments.
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    Data Engineer • Bellary, IN