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| Girish HN, you're invited to walk-in |
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| Azure Data Engineer_ Looking For an Immediate joiner |
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Bengaluru, Pune |
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3 - 6 years |
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Not Disclosed |
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Hybrid |
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Azure Synapse, Databricks, Azure Data Factory, SQL, Pyspark, Python, Fabric, ADF |
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| You will get a reminder mail for this interview |
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| Time and Venue |
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| When? |
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| 27th Sep 2025, 9.30 AM to 5.30 PM |
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| Where? |
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| For invite link call on 7411678029. |
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| Job description |
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Azure Job Description: As a Data Engineer at Brillio, desired candidate will play a critical role in designing, developing, and optimizing data pipelines and architectures in the Azure cloud ecosystem. Candidate will be responsible for building scalable data solutions, integrating data from various sources, and supporting analytical dashboards and reports. The ideal candidate will have a strong background in Azure-based environments, specifically with experience in Azure Synapse, Azure Data Factory, and Microsoft Fabric.
Key Responsibilities:
- Design, develop, and implement scalable and reusable data pipelines using Azure Synapse, Azure Data Factory, and Microsoft Fabric.
- Translate business requirements into technical solutions by developing methodologies for data ingestion, ETL/ELT processing, and data transformation.
- Create and manage data pipelines to efficiently process large datasets, ensuring data integrity and quality across platforms.
- Build complex SQL queries, views, and stored procedures in Azure SQL Database and other relational databases.
- Implement best practices for data warehousing, following Kimball and Inmon methodologies.
- Manage storage solutions in Azure Data Lake Storage (ADLS Gen2), Fabric Lakehouse, and Warehouses, including working with data formats such as Parquet and Delta tables.
- Create and manage notebook activities using Spark PySpark, SparkSQL, and T-SQL to support data transformation and analysis.
- Develop and optimize Spark jobs using Azure Databricks / Fabric Data Factory to streamline data workflows.
- Collaborate with data architects and business stakeholders to design logical and physical data models for analytical solutions.
- Ensure the reliability, scalability, and performance of all data pipelines and processing workflows.
- Provide support in data model design, optimization, and performance tuning for large-scale data processing systems.
Required Skills & Qualifications:
- Minimum of 3+ years of experience in a Data Engineering role with a strong focus on Azure Cloud-based environments.
- Extensive hands-on experience with Azure Synapse Analytics and Azure Data Factory (ADF) in building efficient, scalable data pipelines.
- In-depth knowledge and practical experience in ETL/ELT pipelines using Microsoft Fabric.
- Strong proficiency in writing and optimizing complex SQL queries, stored procedures, and views in Azure SQL Database.
- Strong understanding and hands-on experience with data warehousing concepts, specifically Kimball and Inmon methodologies.
- Expertise in managing and storing data in Azure Data Lake Storage (ADLS Gen2), Fabric Lakehouse, and Warehouses with a deep understanding of storage types like Parquet and Delta tables.
- Hands-on experience in working with Spark, PySpark, SparkSQL, and T-SQL for data processing and transformation.
- Experience in building and managing Spark jobs using Azure Databricks and Microsoft Fabric Data Factory.
- Strong understanding of data modeling principles, including both logical and physical data models.
- Excellent problem-solving skills and ability to work with large datasets efficiently.
- Strong communication and collaboration skills to work effectively with business stakeholders and cross-functional teams.
Preferred Qualifications:
- Azure certifications (e.g., Azure Data Engineer, Azure Synapse Analytics).
- Experience in working with real-time data pipelines and streaming data.
- Familiarity with cloud security best practices and compliance requirements.
- Experience in data governance, data quality, and data lifecycle management in the cloud.
If your skills and experience align with the job description, please send your updated resume to archana...@brillio.com to schedule an interview or for a quick chat ping me on LinkedIn : linkedin.com/in/archana-mohanty-73488141
**Please mention Last Working Date (LWD) for the immediate response. Preference will go to Immediate joiner. |
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| You are receiving this e-mail because your profile contained one or more of the following words that the recruiter searched on : "SQL, Pyspark, Azure, Synapse" |
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| Any questions? Feel free to ask |
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| Archana |
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| Brillio |
| 7411678029 |
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| The sender of this email is registered with Naukri.com as Brillio (4th Floor, No 8/2, Bren Optimus, Dr M H Marigowda Road, Bangalore, Bengaluru (Bangalore) Urban, Karnataka, BANGALORE, Karnataka, India). The responsibility of checking the authenticity of offers/correspondence lies with you. If you consider the content of this email inappropriate or spam, forward this email to compl...@naukri.com. You can also block this recruiter from searching your resume. |
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