Data Engineer

Speridian Technologies

8 - 12 years

6 - 7 Lacs

bengaluru

Posted:4 days ago| Platform:

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Skills Required

supply chain data analysis coding data processing customer service sales process analytics financial services crm sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsibilities

Develop and maintain data pipelines and ETL processes using Azure Data Factory (ADF) and Databricks
Design and implement data storage solutions on Azure, including Azure SQL Database, Azure Data Lake Storage, and Azure Blob Storage
Create and manage data models and data warehouses using Azure Synapse Analytics
Collaborate with cross-functional teams to gather and analyze business requirements and translate them into technical solutions
Troubleshoot and optimize data processes to ensure high performance and data quality
Implement data security measures to protect sensitive information
Stay updated with the latest data engineering technologies and best practices
Lead and mentor junior data engineers in the team
Provide technical guidance and support to other teams and stakeholders
Participate in code reviews and ensure adherence to coding standards and best practices
Collaborate with DevOps teams to deploy and manage data pipelines and processes
Conduct data analysis and provide insights to support business decisions
Develop and maintain documentation for data processes and solutions
Identify and troubleshoot data-related issues and provide timely resolutions

Skills

8 to 12 years of experience as a data engineer
Strong expertise in Azure Data Engineering
Proficient in designing, developing, and maintaining data pipelines in Azure
Expertise in using Azure Data Factory (ADF) for data integration and orchestration
Experience with Azure Databricks for data processing and analytics
In-depth knowledge of SQL and NoSQL databases
Experience with data warehousing and data modeling
Familiarity with ETL/ELT processes and tools
Ability to optimize and troubleshoot data pipelines for performance and scalability
Experience with version control and deployment tools such as Git and Azure DevOps
Strong understanding of cloud computing concepts and architecture
Experience with data security and privacy best practices
Excellent problem-solving and analytical skills
Strong communication and collaboration skills
Experience working in an Agile environment
Bachelors or Masters degree in Computer Science, Engineering, or a related field

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