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Azure Data Engineer - ETL/MDM|Gurgaon|3+Years

  • HuQuo
  • India, G...
  • 3 - 8 Yrs

Job Description

  • Collaborate with teams/regions to drive data design, identify architectural risks, and refine data models and architecture frameworks.
  • Technical expertise in Cloud Data Warehousing, data migration, and transformation.
  • Develop and test ETL components for high data quality and performance.
  • Familiarity with Data Lakes, Data Warehouses, MDM, BI, Dashboards, AI, ML.

Key Skill:

  • Azure Databricks, ADF, ETL, Pipeline Dev, SQL, DWH, ADLS.

Job Responsibilities

  • Design data architecture patterns and ecosystems, including data stores, ingress patterns, and egress patterns. Lead multiple architectural engagements.
  • Oversee creation and maintenance of data artifacts in compliance with enterprise architecture standards.
  • Lead data-centric projects focusing on Data Quality and adherence to best practices.
  • Experience in data modeling, metadata support, and testing for enterprise-wide data solutions.
  • Essential Azure cloud experience with Azure Databricks, Azure Datafactory, Azure Datalake, Spark SQL, PySpark, Airflow, SQL server, and Informatica MDM.
  • Additional exposure to GCP and AWS is beneficial.


Gurgaon, Haryana, India