
Enterprise Analytics Solutions Architect
1 day ago
Job Summary:
As a Senior Data Engineer, you will collaborate with data scientists and architects to translate prototypes into scalable data solutions. You will be responsible for designing and building robust, scalable, and high-quality data pipelines that support analytics and reporting needs.
Key Responsibilities:
Design and develop scalable ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake, and Azure SQL Server.
Collaborate with data scientists, analysts, and platform engineers to enable analytics and ML use cases.
Operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
Requirements:
Experience in designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting.
Proven track record of delivering high-quality data pipelines and solutions that meet business requirements.
Strong understanding of data warehousing, dimensional modeling, star schemas, and data transformation techniques.
Proficiency in programming languages such as Python, Java, and SQL.
What We Offer:
Opportunity to work with a talented team of data professionals on exciting projects.
Competitive salary and benefits package.
Professional development opportunities and training.
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