Data Engineer

1 day ago

Bengaluru, India Winning Edge Full time

Role Overview :- We are looking a skilled and dynamic Data Engineer to design, build, and maintain efficient data pipelines and systems.- The ideal candidate will have a solid foundation in data engineering, ETL processes, and cloud-based data management, with a focus on performance optimization and data quality. - This role requires a detail- oriented professional with strong problem-solving skills and the ability to work collaboratively with cross-functional teams.Data Pipeline Development- Design, develop, and optimize ETL/ELT processes using SQL Server, Azure Data Factory, Synapse, Snowflake, or equivalent tools.- Build and maintain data pipelines to support real-time and batch processing needs, with a preference for Azure Data Stack, especially Microsoft Fabric.- Implement data transformations, cleansing, and quality checks to ensure data integrity and reliability.Cloud Integration and Management Integrate on-premises data sources with cloud-based solutions using Azure services such as Azure Data Factory, ODG(On prem data Gateway), Synapse, Azure Fabrics, and Snowflake, as well as AWS when necessary.- Manage and maintain data lakes, lakehouses, Microsoft Fabric, and data warehouses in cloud environments.- Ensure data availability, lineage, and performance across all data platforms with a focus on Azure technologies. Collaboration and Support - Work closely with data architects, analysts, and BI developers to implement data solutions that meet business requirements, emphasizing Azure Data Stack capabilities and Snowflake integration.- Collaborate with stakeholders to translate business needs into technical solutions.Monitoring & Optimization- Monitor data pipeline performance and troubleshoot issues to ensure optimal operation, leveraging Azure monitoring tools capabilities. Optimize data storage and retrieval mechanisms for enhanced system performance, focusing on Azure technologies.- Maintain comprehensive documentation of data workflows, processes, and system architecture.Required Skills & Qualifications- Experience: 7-9 years in data engineering or related fields.- Data Engineering: Proficient in designing and implementing ETL/ELT processes using SQL Server and cloud-based tools, with a preference for Azure Data Factory, Synapse, and Microsoft Fabric. - Data platforms: Strong experience with data platforms such as Microsoft Fabric, Azure Data Gateway, Azure Synapse, or Snowflake and Databricks.- Programming: Expertise in Python, T-SQL, Spark, or other scripting languages for data transformation.- Data Quality: Strong understanding of data quality checks and best practices.- Communication: Excellent verbal and written communication skills, with the ability to convey technical information in business terms.- Methodologies: Experience with Agile/Scrum project delivery is a plus.Good to Have : Certifications : Microsoft certifications in Azure or related technologies are a plus. Tools : Experience with Power BI and integration with Azure cloud data platforms, particularly Microsoft Fabric. (ref:hirist.tech)

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