Position : Azure Data EngineerLocation : BengaluruExperience : 6 - 13 yrsKey Responsibilities : - Architect and develop end-to-end data pipelines using Azure Data Factory to ensure seamless data integration across disparate source systems.- Optimize complex data processing workflows within Azure Databricks to improve performance and reduce latency for large-scale analytical workloads.- Design and implement robust data models and schemas using SQL to support reporting, dashboards, and advanced analytics initiatives.- Collaborate with engineering teams to automate data quality checks and monitoring processes, ensuring high data integrity and reliability for downstream consumers.- Manage cloud-based data storage solutions, ensuring security, scalability, and cost-efficiency within the Azure ecosystem.- Mentor junior team members and contribute to the refinement of internal engineering standards and best https://jobeax.com/link/wJIgo45kO3tINlTo Skills : - Min 6 years of experience in Azure Data engineer.- Experience in ADF, ADB is required.- Experience in Python and SQL is required.- Good communication skills.- Interested candidates can apply to this job. (ref:hirist.tech)
... platform stability. ExpertiseYoullBring: - 4-8 years of experience in Data Engineering Big Data and Data Integration projects. - Strong hands-on experience with Azure Databricks and PySpark. - Solid experience designing and developing ETL/ELT pipelines for enterprise-scale data platforms. - Strong proficiency in SQL data analysis ...
... Assessment 2026andSoftware Product Engineering PEAK Matrix Assessment 2026. About Position: We are seeking an experienced Azure Data Engineer to join our growing data and analytics this role you will be responsible for designing developing and supporting scalable data platforms and pipelines using Databricks Snowflake PySpark ...
... Experience & Qualifications • 5–7 years of overall experience in Data Engineering / ETL development. • Minimum 3+ years of hands-on experience in Microsoft Azure Data Engineering. • Strong hands-on experience in: o Azure Data Factory (ADF) o Azure Databricks o Azure Data Lake Storage (ADLS) o Azure SQL Database o Azure Synapse ...
Azure Data EngineerKey Responsibilities:- Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF).- Build and optimize data processing workflows using Azure Databricks and Python.- Develop ETL/ELT processes to extract, transform, and load data from multiple sources.- Work with structured and ...
... exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Azure Data engineers As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest ...
Role Overview : We are looking for a skilled Data Engineer with strong hands-on experience in Snowflake, Azure Data Factory (ADF), SQL, Python, and dbt to build, maintain, and optimize scalable cloud-based data https://jobeax.com/link/7yDwjVoYn8HZ8pTw Responsibilities : - Develop data ingestion pipelines from relational ...
... and mentoring.- Strong hands-on experience in Microsoft Azure platform, with experience in data engineering related services and technologies including Azure Data Factory, Azure Functions, Azure Databricks, Azure Synapse Analytics, Azure Event Hub, Azure Stream Analytics and Azure Data Lake Storage.- Expertise in database ...
... BI tools such as Power BI, Tableau or Looker, and for data science use cases like budget optimisation and marketing mix modelling. - Monitor pipeline health, data quality and cluster cost, and tune them as needed. Must-Have Skills - 2–4 years of hands-on data engineering experience, including at least 1.5 years on Databricks. ...
... to internal teams to build data https://jobeax.com/link/lBZX49AU6oyjeBLP Stack:- Microsoft Fabric (Lakehouse, Warehouse, Dataflows)- Azure Data Factory (ADF)- Azure Data Lake Storage (ADLS Gen2)- Python- SQL (Advanced queries, performance tuning, data transformation)- ETL/ELT Pipeline Development- Data Modeling & Schema ...
... improve data processing efficiency.- Implement real-time and streaming data solutions using technologies such as Spark Streaming and Kafka.- Work with cloud-native data services and integrate Databricks with Azure or AWS environments.- Collaborate with architects, data engineers, and cross-functional teams to deliver robust data ...