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Data Engineer - ETL/PySpark
Data Engineer - ETL/PySparkINTEGRATED PERSONNEL SERVICES LIMITED • Hyderabad
Data Engineer - ETL / PySpark

Data Engineer - ETL / PySpark

INTEGRATED PERSONNEL SERVICES LIMITED • Hyderabad
29 days ago
Job description

Description :

Role : Data Engineer.

Location : Hyderabad.

Key Responsibilities :

  • Design, develop, and maintain scalable data pipelines using PySpark and Azure Data Factory.
  • Work closely with business stakeholders, analysts, and data scientists to understand data requirements and deliver reliable solutions.
  • Optimize ETL workflows for performance, scalability, and reliability.
  • Implement best practices for data ingestion, transformation, and integration across multiple sources.
  • Ensure data quality, governance, and security across the data lifecycle.
  • Troubleshoot and resolve issues related to data pipelines, storage, and performance.

Required Skills & Qualifications :

  • 5+ years of total experience, with 3+ years relevant in PySpark, Azure Data Factory, and Python.
  • Strong experience in building large-scale data pipelines and ETL workflows.
  • Hands-on expertise in PySpark for data processing and transformation.
  • Proficiency in Azure Data Factory (ADF) for orchestrating and automating workflows.
  • Solid understanding of Python for scripting, data handling, and automation.
  • Strong SQL skills and ability to work with relational and non-relational databases.
  • Good knowledge of data warehousing concepts and performance optimization.
  • Exposure to Azure ecosystem (Data Lake, Databricks, Synapse Analytics, etc.) preferred.
  • Excellent problem-solving, analytical, and communication skills.
  • Nice to Have (Optional) :

  • Experience with CI / CD pipelines for data solutions.
  • Knowledge of data governance, security, and compliance frameworks.
  • Familiarity with real-time data streaming technologies (Kafka, Event Hubs, etc.
  • Additional Details :

  • Cloud Preference : Azure only (AWS experience not required).
  • Contract / Full-Time : Full-Time.
  • (ref : hirist.tech)

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