Data Engineer

3 weeks ago

India Truelancer.com Full time

Job Title: Data Engineer

Experience: 4+ Years

Mandatory Skills: Azure data factory, python, apache-spark, Datalakehouse, Databricks, Should be able to create pipelines and transform data


Key Responsibilities:

  • Design, develop, and maintain end-to-end data pipelines using Azure Data Factory, ensuring the ingestion, transformation, and integration of large datasets.
  • Leverage Databricks and Apache Spark to perform data transformations, optimize performance, and ensure the integrity of data workflows.
  • Implement and manage Data Lakehouse architectures to support large-scale analytics and reporting.
  • Collaborate with cross-functional teams to define data requirements and provide innovative solutions for data storage, processing, and retrieval.
  • Monitor and improve pipeline performance, identify bottlenecks, and ensure data accuracy and security.
  • Work closely with data scientists and analysts to enable seamless access to data for business insights.
  • Stay up to date with emerging technologies and best practices to continuously enhance the data engineering framework.


Required Skills

  • 4+ years of hands-on experience in data engineering with a focus on Azure.
  • Proficiency in Azure Data Factory for orchestrating and automating data workflows.
  • Strong expertise in Python for data manipulation, automation, and pipeline development.
  • Deep understanding of Apache Spark for large-scale data processing.
  • Experience working with Databricks to design and optimize data pipelines.
  • Familiarity with Data Lakehouse architectures and their implementation for scalable data solutions.
  • Ability to design and develop robust ETL processes to ensure efficient data flows across systems.
  • Strong problem-solving skills with a focus on performance optimization and data quality.


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