Senior Data Engineer

4 weeks ago

Pune, India SR Analytics Full time

About SR Analytics:

We are a Data Analytics and Business Intelligence Services firm looking to add a Senior Data Engineer to our team. If you are passionate about Azure Cloud technologies and data engineering, have a strong skill set, and thrive in a fast-paced environment, we would love to hear from you.

Job Responsibilities:

1 Design, construct, and maintain scalable data management systems on Azure Cloud.

2 Develop and optimize data pipelines and architectures using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.

3 Ensure that systems meet business requirements and industry best practices.

4 Integrate new Azure-based technologies and software engineering tools into existing data structures.

5 Develop processes for data mining, modeling, and production with Azure SQL Database, Cosmos DB, etc.

6 Build and maintain custom software components and analytics applications on Azure.

7 Leverage a variety of languages and tools to combine data systems, especially Python, SQL, and Azure Functions.

8 Collaborate with cross-functional teams including data architects, modelers, and engineers to align on long-term goals for the data platform.

9 Optimize and recommend ways to improve data reliability, efficiency, and quality.

10 Conduct research to address complex industry and business problems using Azure-based solutions.

11 Provide strategic input on the overall data platform architecture using Azure Data Lake Storage and Azure Blob Storage.

Requirements:

1 Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

2 Minimum of 5 years of experience as a Data Engineer, Software Developer, or in a similar role.

3 Hands-on experience with Azure Cloud technologies including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake.

4 Strong experience with big data tools and stream-processing systems within the Azure ecosystem.

5 Proficiency in SQL, Python, Java, or other scripting languages.

6 Experience with relational databases and NoSQL databases in Azure, including Azure SQL Database and Cosmos DB.

7 Strong analytical and problem-solving skills.

8 Familiarity with DevOps practices, including CI/CD pipelines in Azure DevOps.

9 Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.

10 Understanding of data privacy regulations and best practices.

Added Advantage:

1 Experience with machine learning on Azure.

2 Knowledge of Power BI for data visualization.

3 Certification in Azure Data Engineer or Azure Solutions Architect.

We are excited to welcome someone who is as passionate about Azure Cloud as we are.

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