Job highlights

- 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 .

- Experience working in an Agile environment . Bachelors or Masters degree in Computer Science,Engineering,or a related field

- Experience with data warehousing and data modeling .

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

- Robust 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

📌 Data Engineer (Bengaluru)
🏢 Speridian Technologies
📍 Bengaluru