Senior Data Engineer

2 weeks ago

Hyderabad, India Digivance Solutions Full time

Job Title: Data Engineer - Location: Hyderabad - Experience Required: 7+ years (3+ years relevant in PySpark, Azure Data Factory, Apache HIve and Python)Must have - Open Positions: 3 - Round of Interviews: 1- Assessment (1:30 hours) 2- Panel (Hyderabad F2F) - Valid Passport: Mandate 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 - 7+ 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.).

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