Posted:4 days ago|
Platform:
Work from Office
Full Time
Job role - Data engineer
Experience - 5+
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.
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