Azure Data Engineer - Consultant
KPMG Bangalore
Job Description
- Data Management: Design, implement, and manage data solutions on the Microsoft Azure cloud platform.
- Data Integration: Develop and maintain data pipelines, ensuring efficient data extraction, transformation, and loading (ETL) processes using Azure Data Factory.
- Data Storage: Work with various Azure data storage solutions like Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB.
- Big Data Processing: Utilize big data technologies such as Azure Databricks and Apache Spark to handle and analyze large datasets.
- Data Architecture: Design and optimize data models and architectures to meet business requirements.
- Performance Monitoring: Monitor and optimize the performance of data systems and pipelines.
- Collaboration: Collaborate with data scientists, analysts, and other stakeholders to support data-driven decision-making.
- Security and Compliance: Ensure data solutions comply with security and regulatory requirements.
- Technical Skills: Proficiency in Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure data tools.
- Analytical Skills: Strong analytical and problem-solving skills.
- Communication: Excellent communication and teamwork skills.
- Certifications: Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus.
iPivotBangalore
Job Description
We are Hiring for Azure Data Engineer & AWS Data Engineer with DataBricks & Redshift
Experience: 6+ Years
Location: Bengaluru, Hybrid Model.
Notice period: Immediate, 30 days serving.
Required Skills:
Proficient in DataBricks...
Bangalore
Job Description
Job Description:
As a Data Engineer with expertise in PySpark, Databricks, and Microsoft Azure, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines and processing systems. You...
AmazonBangalore
years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles...