Highly Skilled Data Engineer

3 days ago

Gulbarga, Karnataka, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000

As a seasoned professional, you will be responsible for designing and implementing scalable data solutions.

This role involves translating prototypes into production-ready infrastructure that supports analytics, reporting, and machine learning workflows.

Key Responsibilities
  • Develop robust, high-quality data pipelines that integrate structured and unstructured data from various sources into data lakes and warehouses.
  • Operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
  • Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
  • Ensure data integrity, privacy, and compliance through governance practices and secure schema design.
  • Collaborate closely with cross-functional teams to translate requirements into technical solutions.
Required Skills & Qualifications
  • 7+ years of experience in data engineering or design, with a proven track record of designing, developing, and deploying scalable enterprise data analytics solutions.
  • 5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory, Azure Monitor, Azure DataBricks building datasets, ML pipelines, experiments, logging, and monitoring.
  • 5+ years of experience in data engineering using Snowflake.
  • Proficiency in SQL and any one other programming language.
  • Strong experience with cloud platforms and containerization technologies.
Benefits

By joining our organization, you will have the opportunity to work on complex data projects, collaborate with experienced professionals, and develop your skills in data engineering.

Others

Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance is highly valued. Experience in building and managing streaming and batch inferencing is also beneficial.

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