Advanced Data Analytics Solutions Developer

4 days ago

Anantapur, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 22,50,000

We are seeking a skilled data professional to design, develop and deploy scalable enterprise data analytics solutions.

  • Key responsibilities include:
  • Data Pipeline Design & Development:
    • Design and build robust, scalable, high-quality data pipelines that support business intelligence 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 workflows.
    • Collaborate with solution architects and analysts to ensure models meet business needs.
  • Data Governance & Security:
    • Evaluate and 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 will possess the following qualifications:

  • 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.
  • 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).
About This Role

This is an exciting opportunity for a skilled data professional to join our team and contribute to the development of cutting-edge data analytics solutions. If you have a passion for data engineering and want to be part of a dynamic team, please apply now.

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