Data Engineer for Large-Scale Azure Systems

1 week ago


Gurgaon, Haryana, India ENGRO TECHNOLOGIES L.L.C Full time

At Engro Technologies, we are seeking a skilled Data Engineer to join our team and play a critical role in designing, building, and maintaining large-scale data systems on the Microsoft Azure platform.

The ideal candidate will have 5-8 years of experience in the IT industry, with a strong background in Azure Data Engineering Stack, including Event Hub, Data Factory, Cosmos DB, Synapse, SQL DB, Databricks, and Data Explorer. Proficiency in Python/Pyspark, Spark, Scala, Hive, and Impala is also essential.

Azure Data Engineer certification is preferred, but not required. The successful candidate will have excellent analytical and organization skills, as well as effective working in a team and independently. Experience of working in Agile delivery and knowledge of software development best practices are also highly valued.

We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience. If you are a motivated and experienced professional looking to take your career to the next level, please submit your application.

Job Description Overview

  • Job Title: Data Engineer for Large-Scale Azure Systems
  • Job Type: Full-time
  • Location: Not Specified

Key Responsibilities:

  1. Design and develop data pipelines using Azure Data Factory, Event Hub, Cosmos DB, Synapse, and SQL DB.
  2. Develop and maintain ETL (Extract, Transform, Load) processes using Python, Pyspark, Spark, Scala, Hive, and Impala.
  3. Develop and maintain data warehouses using Azure Data Lake Analytics, U-SQL, and Azure SQL DW.
  4. Develop and maintain data visualizations using Power BI and Tableau.
  5. Work with cross-functional teams to design and implement data-driven solutions.
  6. Maintain high-quality coding standards and adhere to software development best practices.
  7. Collaborate with stakeholders to gather requirements and provide technical guidance.

Requirements:

  1. 5-8 years of experience in the IT industry.
  2. 4/5+ years of experience with Azure Data Engineering Stack.
  3. 3+ years of experience with Python/Pyspark, Spark, Scala, Hive, Impala.
  4. Excellent knowledge of SQL and coding skills.
  5. Good understanding of other Azure services like Azure Data Lake Analytics, U-SQL, Azure SQL DW.
  6. Good understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts.
  7. Experience with scripting languages such as shell.
  8. Excellent analytical and organization skills.
  9. Effective working in a team as well as working independently.
  10. Experience of working in Agile delivery.
  11. Knowledge of software development best practices.
  12. Strong written and verbal communication skills.

Salary Range:$120,000 - $180,000 per year



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