Azure BI Data Engineer
2 weeks ago
10+ Years of hands-on experience in Information Technology, with 5+ years of experience designing and executing data solutions.
· Hands-on experience building data solutions using Snowflake, Azure, Kafka, Python, SQL and Spark.
· Experience in managing large data ecosystems and championing data governance.
· Develop and maintain a robust data architecture strategy that aligns with the organization's goals and objectives. Define data models, schemas, and storage solutions for structured and unstructured data.
· AWS, Azure, GCP) to support data storage, processing, and analytics needs.
· Design and implement data pipelines for ingesting, transforming, and integrating data from various sources into the cloud data environment.
· Champion and evangelize latest advancements in Data Management industry within tsworks and across clients
· Implement data security measures and ensure compliance with data privacy regulations (e.Establish access controls, encryption, and auditing mechanisms.
· Define and enforce data governance policies, standards, and best practices. Ensure data quality, consistency, and lineage.
· Implement monitoring and alerting systems to proactively identify and address performance bottlenecks, errors, and inefficiencies.
· Collaborate with cross-functional teams to understand their data requirements and provide data solutions that meet their needs.
· Monitor and manage cloud resource costs effectively, optimizing the usage of cloud services to reduce overall TCO for internal as well as client data platform.
· Integrate disparate data models across the company into one enterprise-wide Unified Data Platform design.
· Drive culture of standardization in data transformation and analytic logic.
· Interaction with software engineering and DBA teams to understand their database requirements for new products or features.
· Plan and provide operational oversight in database maintenance with minimal impact to customers.
· Identify and resolve production issues and participate in debugging and root cause analysis.
Bachelor's degree in computer science, data engineering, or a related field.
· Proven experience as a Data Architect, with a focus on Azure and Snowflake.
· In-depth knowledge of Azure cloud platforms and their data services.
· Proficient in using different features of Snowflake such as Snowpipe Streaming, Streams and Tasks, managing different virtual warehouses and ensuring cost optimization, Notebooks, Native Applications, Streamlit, Data Exchange etc.
· Proficiency using Relational and NoSQL databases.
· Strong understanding of data warehousing, data lakes, and data integration paradigms such as the Medallion Architecture.
· Familiarity with data modeling and data governance using Snowflake and external tools such as Collibra or Microsoft Purview.
· Knowledge of data security and compliance standards.
· Hands-on experience working in an agile setting.
· Be able to articulate, create, and maintain technical and non-technical documentation.
· Certifications such as Snow Pro Core or Advanced, Microsoft Certified Azure Data Engineer or Microsoft Certified Fabric Data Engineer is a need
· The position is based in Vancouver, Canada, with a hybrid work model requiring 3 days per week in our client's office. You will be working on internal and client projects, collaborating with teams and stakeholders as needed.
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