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Lead Azure Data Engineer

Roles & Responsibilities

  • Experience with Azure services including Azure Databricks (ADB), Azure Data Lake Storage (ADLS), and Azure Data Factory (ADF)
  • Experience with Spark and distributed data processing
  • Proficient in PySpark
  • Experience in leading a small team and providing design/technical guidance

Requirements:

  • Lead and mentor a small data engineering team, guiding design and technical decisions
  • Design and implement end-to-end data pipelines using Azure services (ADB, ADLS, ADF) and PySpark
  • Develop and optimize complex SQL queries and Spark jobs for large-scale data processing in the Banking/Financial Services domain
  • Collaborate with stakeholders to translate business requirements into scalable data solutions and ensure domain compliance

Job description


Must Have Skills:
  • Experience with Azure Services like – ADB, ADLS, ADF.
  • Experience with working on Azure platform.
  • Experience with Spark – distributed processing.
  • Have knowledge of PySpark.
  • Have managed a small team– helped the team with design/technical questions.
  • Complex SQL Queries, Azure data bricks, Azure data lake, PySpark/Spark, Azure Data Factory.
  • Experience of working within Banking/Financial Services Industry.
Nice to Have Skills:
  • Knowledge of any other tech stack – Java, Scala etc.
  • Knowledge of API and front-end applications like Angular.
  • Knowledge of Fraud domain.

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