Azure Data Engineer
1 month ago
Azure Data Engineer - Fivetran or Snowflake Specialist
Bengaluru, Data & Analytics
JOB DESCRIPTION
1. Design, develop, and deploy data pipelines and workflows using Fivetran or Snowflake on the Azure platform.
2. Collaborate with business stakeholders to gather data requirements and translate them into technical specifications and Configure and customize Fivetran connectors or Snowflake integrations to extract, transform, and load data from
various source systems into Azure.
3. Implement data quality checks and monitoring processes to ensure the accuracy and integrity of data within Fivetran
or Snowflake.
4. Optimize data pipelines for performance, scalability, and cost-efficiency, leveraging Azure services such as Azure Data
Factory, Azure Databricks, and Azure Synapse Analytics.
5. Work closely with data analysts and data scientists to provide them with access to curated datasets in Fivetran or
Snowflake for analysis and reporting.
6. Collaborate with DevOps teams to automate deployment, monitoring, and management tasks related to Fivetran or
Snowflake environments.
7. Troubleshoot data pipeline issues, performance bottlenecks, and data quality issues in collaboration with relevant
teams.
8. Stay updated with the latest trends and best practices in cloud data engineering, Fivetran, Snowflake, and Azure
technologies.
9. Document data pipelines, configurations, and processes to ensure knowledge sharing and maintainability.
Qualifications:
1. Bachelor's degree in Computer Science, Information Technology, or related field.
2. 5+ years of experience in data warehousing
3.Proven experience as a data engineer, with specific expertise in implementing data solutions using Fivetran or
Snowflake.
4.Hands-on experience with Azure cloud services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage.
5. Proficiency in SQL for data querying, transformation, and manipulation.
6. Experience with data modeling concepts and techniques for designing efficient data warehouses and data lakes.
7. Strong understanding of ETL/ELT principles and best practices.
8.Excellent problem-solving skills and attention to detail, with the ability to troubleshoot and resolve complex data
issues.
9. Experience with DevOps practices and tools for automation, CI/CD, and infrastructure as code is a plus.
10. Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
11. Certifications in Azure Data Engineering or related areas are desirable
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