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Prodapt Solutionsvia Indeed

Snowflake Data Engineer

REMOTEPosted 4mo ago
Data EngineerMid Level#python#aws#azure#spark

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About the Role

Overview:
  • Design and architect scalable, secure, and high-performance data solutions primarily using the Snowflake platform.
  • Leverage Openflow experience to optimize data workflows and integrations.
  • Develop and maintain ETL/ELT pipelines for data ingestion from various sources, including Salesforce, relation, files and NoSQL databases.
  • Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions.
  • Implement dimensional modeling techniques to support data warehousing and business intelligence needs.
  • Build and optimize data pipelines across cloud environments (Azure and AWS) ensuring efficient data movement and transformation.
  • Ensure data quality, governance, and security best practices are adhered to across the data architecture.
  • Support analytics and reporting teams by enabling data access and integration with Power BI and Tableau dashboards.
  • Stay current with emerging data technologies and recommend improvements to existing data architecture.
Responsibilities:
  • Proven experience as a Data Architect or similar role, with extensive hands-on experience on the Snowflake platform.
  • Experience with Openflow for workflow automation and data orchestration.
  • Strong knowledge of SQL Server and relational database concepts.
  • Proficiency in cloud platforms, particularly Microsoft Azure and Amazon Web Services (AWS).
  • Understanding of Salesforce data ingestion methods and associated APIs/tools.
  • Experience working with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
  • Familiarity with analytics and visualization tools such as Power BI and Tableau.
  • Strong problem-solving skills and ability to work collaboratively in cross-functional teams.
  • Excellent communication skills to translate technical concepts for non-technical stakeholders.
  • Experience with Python, Spark, or other data engineering tools/languages.
  • Knowledge of latest trends in AI/ML areas
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