Transformative Data Architect for Next-Gen Analytics Infrastructure

16 hours ago

Allahabad, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 30,00,000
Job Title: IRIS Data Engineer

Leading Enterprise Data Engineer for Scalable Analytics Solutions

We are seeking a highly skilled data engineer to spearhead the design and development of scalable enterprise data analytics solutions from source system through ingestion and reporting.

  • Data Pipeline Design & Development

Data engineers are responsible for designing and building robust, scalable, and high-quality data pipelines that support analytics and reporting needs. This includes:

  • Integration of structured and unstructured data from various sources into data lakes and warehouses.
  • Building and maintaining scalable ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake and Azure SQL Server.
  • Collaborating with data scientists, analysts, and platform engineers to enable analytics and ML use cases.
  • Designing, developing, and optimizing DBT models to support scalable data transformations.
  • Cloud Platform Engineering

They operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.

  • Managing environments, performance tuning, and configuration for cloud-native data solutions.
  • Data Modeling & Architecture

Applying dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.

  • Collaborating with solution architects and analysts to ensure models meet business needs.
  • Data Governance & Security

Ensuring data integrity, privacy, and compliance through governance practices and secure schema design.

  • Implementing data masking, access controls, and metadata management for sensitive datasets.
  • Collaboration & Agile Delivery

Working closely with cross-functional teams including product owners, architects, and business stakeholders to translate requirements into technical solutions.

  • Participating in Agile ceremonies, sprint planning, and DevOps practices for continuous integration and deployment.

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