SR Analytics
3 weeks ago
Job Title : Senior Data Engineer
Location : Pune
Company : SR Analytics
Number of positions : 2
Experience : 5-9 years
Job Location : Pune (Balewadi)- In-Office position
About Us :
We at SR Analytics, a Data Analytics and Business Intelligence Services firm, are 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.
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. If you're ready to take on this challenge, apply now
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