Azure Data Engineer Resume Samples

Description :

1. Ensured data solutions are designed for optimal storage, retrieval, and processing efficiency.
2. Implemented data integration solutions using Azure Data Factory, Azure Databricks, and other relevant tools.
3. Managed and maintained data warehouses and data lakes on Azure.
4. Monitored and optimized data pipelines for performance and cost efficiency.
5. Ensured data solutions comply with relevant data protection regulations and best practices.
6. Implemented robust data security measures to safeguard sensitive information.
7. Conducted regular audits and assessments to ensure data integrity and security.

Experience

5-7 Years

Level

Executive

Education

BSc CS

Description :

1. Trained and mentored junior data engineers and other team members on Azure data services and best practices.
2. Kept updated with the latest trends and advancements in Azure data services and related technologies.
3. Continuously evaluated and improved existing data solutions and processes.
4. Contributed to the development of best practices and standards for data engineering within the organization.
5. Built and optimized data pipelines, ensuring data integrity, and providing actionable insights to support business decisions.
6. Designed, developed, and deployed data solutions using Microsoft Azure Data Services, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. 
7. Collaborated with cross-functional teams to understand business requirements and translate them into technical specifications. 

Experience

7-10 Years

Level

Senior

Education

BSc CS

Description :

1. Kept updated with the latest advancements in Microsoft Azure Data Services and integrated innovative approaches for sustained competitive advantage.
2. Designed, documented, and developed distributed and event-driven data pipelines with cloud-native data stores, ADW.
3. Consulted business, product, and data science teams to understand end-user requirements or analytics needs to implement the most appropriate data platform technology and scalable data engineering practices.
4. Prepared data mapping, data flow, production support, and pipeline documentation for all projects.
5. Delivered completeness of source system data by performing a profiling analysis and triaging issues reported in production systems.
6. Facilitated fast and efficient data migrations through a deep understanding of the design, mapping, implementation, management, and support of distributed data pipelines.
7. Designed, built, and deployed data analytics solutions on the Azure cloud platform.

Experience

2-5 Years

Level

Junior

Education

BSc CS

Description :

1. Created and maintained data models and data warehouses on Azure SQL Database and Azure Synapse Analytics.
2. Developed and deployed data analytics and visualization solutions using Azure Synapse Analytics, Power BI, or similar tools.
3. Optimized data solutions for performance, scalability, and reliability.
4. Implemented data security and privacy controls to protect data on the Azure platform.
5. Collaborated with stakeholders to understand their data analytics requirements and design solutions that meet their needs.
6. Designed and implemented data solutions on the Azure platform, including Scala, SQL, and Spark data lakes, data warehouses, and data pipelines.
7. Gathered and analyzed business requirements to design and develop data models.

Experience

0-2 Years

Level

Fresher

Education

BSc CS

Description :

1. Maintained clear and comprehensive documentation of data engineering processes and solutions.
2. Collaborated with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
3. Kept updated on Azure best practices and trends in data engineering to ensure our solutions are leveraging the latest cloud capabilities.
4. Performed IIS administration tasks to support web applications and services at an intermediate level.
5. Oversaw Linux system operations and security at an intermediate level.
6. Ensured robust networking and security practices to protect our IT infrastructure at an intermediate level.
7. Administered SQL Server databases to support data operations proficiently.

Experience

0-2 Years

Level

Entry Level

Education

BSc CS

Description :

1. Ensured data quality, integrity, and security in all data solutions.
2. Collaborated with data scientists and analysts to support their data needs.
3. Monitored and troubleshot data solutions for performance and reliability.
4. Designed and implemented data engineering solutions using Azure services such as Synapse, Azure Storage, and Data Factory.
5. Developed and maintained data pipelines to efficiently extract, transform, and load data from various sources.
6. Implemented metadata-driven approaches to automate and optimize data workflows.
7. Collaborated with cross-functional teams to gather requirements and define data engineering architectures.

Experience

7-10 Years

Level

Senior

Education

BSc CS

Description :

1. Provided guidance and mentorship to junior team members to foster professional growth and development.
2. Designed, developed, and maintained data pipelines using Azure Data Factory to extract, transform, and load data from various sources into Azure Data Lake and Azure Synapse Analytics.
3. Managed and optimized Azure Data Lake Storage Gen2, ensuring data is organized, secure, and accessible for data processing and analytics.
4. Built and managed data warehouses using Azure Synapse Analytics to support data analytics and reporting needs.
5. Created data transformation processes, including data cleansing, enrichment, and aggregation, to support analytics and reporting requirements.
6. Optimized data pipelines, data lake, and data warehouse for improved performance, scalability, and cost-efficiency.
7. Implemented data security measures to protect sensitive data and ensure compliance with data governance policies.

Experience

10+ Years

Level

Management

Education

BSc CS

Description :

1. Monitored database performance, troubleshoot issues, and implement necessary fixes.
2. Collaborated with other IT professionals to design and implement effective data solutions.
3. Maintained documentation of system configurations, procedures, and changes.
4. Collaborated with internal teams to expand our data warehouse with clean data ready for analysis.
5. Partnered with data scientists to develop and implement technical architectures for strategic solutions.
6. Tested and implemented new data sets to enable customer-facing data products.
7. Assisted in the evaluation and implementation of emerging tools/technology for Data Engineering.

Experience

5-7 Years

Level

Executive

Education

BSc CS

Description :

1. Implemented modern data solutions with Azure Data Factory, Data Lake, Data Bricks, and SQL data warehouse.
2. Supported IaaS and data migrations and PaaS modernizations,
3. Supported data migrations with structured and non-structured data from on-premises and open-source repositories into modern Azure data services.
4. Crafted high-quality Visio documents to communicate thoroughness of vision for system architecture topology, component design, networking, and security of proposed solutions.
5. Ensured that proper processes were followed on the project and was familiar with industry best practices.
6. Provided technical leadership for on-premises assessment, economic forecast, and modernization strategy.
7. Communicated across the client’s community consistently viewed as adding value.

Experience

7-10 Years

Level

Consultant

Education

BSc CS

Description :

1. Developed the infrastructure necessary for the efficient extraction, transformation, and loading of data from various sources using Azure Databricks and Azure Data Factory.
2. Created a cloud-native, real-time stream processing and data lake platform capable of scaling to Zettabytes and beyond.
3. Constructed a data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other critical business performance indicators.
4. Conducted root cause analysis on both external and internal processes and data to identify areas for improvement.
5. Embraced change, constantly open to replacing previous work with improved solutions.
6. Collaborated with all stakeholders to design and develop large-scale batch and real-time data pipelines on Azure.
7. Conducted code reviews and led efforts in code refactoring to enhance readability, extensibility, and testability.

Experience

2-5 Years

Level

Junior

Education

BSc CS