Data Engineer - Python/ETL

<p><p><b>Job Title :</b> Data Engineer<br/><br/><b>Experience :</b> 7 to 10 Years<br/><br/><b>Work Mode :</b> Hybrid<br/><br/><b>Job Type :</b> Full Time<br/><br/><b>Location :</b> Bangalore<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and manage end-to-end data pipelines using Azure Data Factory (ADF) for efficient ETL/ELT processes.<br/><br/></p><p>- Develop, deploy, and monitor scalable data solutions using Azure Synapse Analytics or Databricks to support large-scale data processing and analytics.<br/><br/></p><p>- Write optimized SQL Server scripts, stored procedures, and views to support data transformation and integration requirements.<br/><br/></p><p>- Build and maintain insightful dashboards and reports using Power BI, with a focus on usability, performance, and clear data communication.<br/><br/></p><p>- Develop automation scripts using PowerShell for operational and monitoring tasks across Azure services.<br/><br/></p><p>- Create automated workflows using Power Automate to streamline manual tasks and notifications.<br/><br/></p><p>- Leverage Python or PySpark for data manipulation, transformation, and orchestration within Synapse or Databricks environments.<br/><br/></p><p>- Collaborate with business stakeholders, data analysts, and application developers to gather requirements and deliver high-quality solutions.<br/><br/></p><p>- Perform root cause analysis, data validation, and ensure data integrity across systems and processes.<br/><br/></p><p>- Participate in code reviews, design discussions, and documentation efforts to ensure best practices and knowledge sharing.<br/><br/></p><p>- Ensure security, compliance, and governance in all data engineering activities.<br/><br/><b>Required Skills and Qualifications :</b><br/><br/>- 6 to 8 years of experience in data engineering, data analytics, or business intelligence roles.<br/><br/></p><p>- Strong proficiency in Azure Data Factory, SQL Server, and Power BI.<br/><br/></p><p>- 2+ years of hands-on experience with Azure Synapse Analytics or Databricks and Python for data transformation and analysis.<br/><br/></p><p>- Experience with PowerShell scripting for automation and Power Automate for workflow integration.<br/><br/></p><p>- Strong understanding of data warehousing concepts, data modelling, and performance tuning.<br/></p><br/></p> (ref:hirist.tech)