Data Engineer

2 weeks ago


India Anomaly Business Consult Full time

Location: Remote

Experience: 6+ years

Compensation: Better than industry standards


Only Immediate Joiners Requried


We are looking for a seasoned Azure Data Engineer to join our client's team. The successful candidate will possess extensive experience in designing, developing, and managing ETL processes and data pipelines on the Microsoft Azure platform. Expertise in Azure Data Factory (ADF), PySpark, and CI/CD pipelines is crucial. The position involves hands-on involvement in design, modeling, development, and delivery, with an emphasis on creating scalable and reliable enterprise solutions.

Key Responsibilities

Development:

  • Actively engage in the design, modeling, development, and deployment of data solutions.
  • Create and maintain ETL processes and data pipelines utilizing Azure Data Factory (ADF).
  • Enhance data transformation processes using PySpark.
  • Implement CI/CD pipelines across Azure and third-party products with production-level experience.
  • Participate in the establishment and refinement of enterprise standards.
  • Comprehensive knowledge of Azure services and components, integrating them into scalable, reliable, and sustainable enterprise solutions.

Architecture:

  • Deep understanding of architectural patterns in code and infrastructure development.
Requirements

Technical Skills and Experience:

  • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
  • 6+ years of professional data engineering experience.
  • In-depth expertise with Microsoft Azure data services, specifically Azure Data Factory (ADF) and PySpark.
  • Proven experience in designing, developing, and maintaining data pipelines.
  • Strong proficiency in SQL and familiarity with NoSQL databases.
  • Extensive knowledge of ETL/ELT processes and tools.
  • Experience with big data technologies like Hadoop and Spark.
  • Proficiency with Azure Databricks, Data Lake, SQL Database, and other Azure data services.
  • Comprehensive understanding of big-data processing approaches and “schema-on-read” methodologies, with an emphasis on Spark, Databricks, and Delta Lake.
  • Practical experience with CI/CD pipelines in production environments.
  • Solid knowledge of architectural patterns in both code and infrastructure development.
  • Experience with Agile methodologies and tools (SAFe, Jira, Confluence, Azure DevOps).
  • Proficiency in visualization tools (Power BI, report development, dashboards, KPI scorecards).


Preferred Qualifications:

  • Certification as an Azure Data Engineer.
  • Experience with data warehousing concepts and technologies.
  • Knowledge of data security and compliance standards.



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