Data Architectural Specialist

1 week ago

Kannur, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

**Senior Data Engineer Opportunity**

We are seeking an experienced Senior Data Engineer to join our team.

The successful candidate will be responsible for designing and building robust, scalable, and high-quality data pipelines that support analytics and reporting needs.

This role requires a deep understanding of data engineering principles, cloud platforms, and containerization technologies.

The ideal candidate will have 7+ years of experience in designing, developing, and deploying scalable enterprise data analytics solutions.

**Key Responsibilities**

  • Data Pipeline Design & Development
    • Design and build robust, scalable, and high-quality data pipelines that support analytics and reporting needs.
    • Integration of structured and unstructured data from various sources into data lakes and warehouses.
    • Build and maintain scalable ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake, and Azure SQL Server.
  • Cloud Platform Engineering
    • Operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
    • Manage environments, performance tuning, and configuration for cloud-native data solutions.
  • Data Modeling & Architecture
    • Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
    • Collaborate with solution architects and analysts to ensure models meet business needs.
  • Data Governance & Security
    • Ensure data integrity, privacy, and compliance through governance practices and secure schema design.
    • Implement data masking, access controls, and metadata management for sensitive datasets.
  • Collaboration & Agile Delivery
    • Work closely with cross-functional teams including product owners, architects, and business stakeholders to translate requirements into technical solutions.
    • Participate in Agile ceremonies, sprint planning, and DevOps practices for continuous integration and deployment.

**Requirements**

The ideal candidate should have:

  • 7+ years of data engineering or design experience, 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.
  • Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance.
  • Experience in building and managing streaming and batch inferencing.
  • Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA).
  • Strong experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes).
  • Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or similar tools.
  • Familiarity with security best practices in DevOps and ML Ops.
  • Experience in developing and maintaining APIs (e.g.: REST)
  • Agile/Scrum operating experience using Azure DevOps.
  • Experience with MS Cloud - ML Azure Databricks, Data Factory, Synapse, among others.

Benefits of this role

The Senior Data Engineer will have the opportunity to work on cutting-edge data analytics projects, collaborate with a talented team, and contribute to the development of innovative data solutions.

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