SmartWorks, LLC
Senior Data engineer
SmartWorks, LLC, Sunnyvale, California, United States, 94087
Job Title: Senior Data Engineer
Location:
Sunnyvale, CA Hybrid OnsiteJob Type:
ContractJob Description
Create and maintain optimal data pipeline architecture for data-intensive applications. Assemble large, complex data sets that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmos DB, Databricks, and other legacy databases. Build analytics dashboards/visualizations utilizing the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and Azure regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems.Qualifications:
Strong Python programming skills, expert level on using Python to process Big Data.Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Extensive experience on Databricks on Azure Cloud platform, deep understanding of Delta Lake, Lake House Architecture.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Strong analytic skills related to working with Data Visualization Dashboards, Metrics, etc., experience on Tableau, Power BI, or Looker tools.Build processes supporting data transformation, data structures, metadata, dependency, and workload management.A successful history of manipulating, processing, and extracting value from large disconnected datasets.Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.Familiar with deployment tools like Docker and building CI/CD pipelines.Experience supporting and working with cross-functional teams in a dynamic environment.8+ years' experience in software development, data engineering.Bachelor's degree in computer science, Statistics, Informatics, Information Systems, or another quantitative field. Postgraduate/master's degree is preferred.
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Location:
Sunnyvale, CA Hybrid OnsiteJob Type:
ContractJob Description
Create and maintain optimal data pipeline architecture for data-intensive applications. Assemble large, complex data sets that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmos DB, Databricks, and other legacy databases. Build analytics dashboards/visualizations utilizing the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and Azure regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems.Qualifications:
Strong Python programming skills, expert level on using Python to process Big Data.Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.Extensive experience on Databricks on Azure Cloud platform, deep understanding of Delta Lake, Lake House Architecture.Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.Strong analytic skills related to working with Data Visualization Dashboards, Metrics, etc., experience on Tableau, Power BI, or Looker tools.Build processes supporting data transformation, data structures, metadata, dependency, and workload management.A successful history of manipulating, processing, and extracting value from large disconnected datasets.Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.Familiar with deployment tools like Docker and building CI/CD pipelines.Experience supporting and working with cross-functional teams in a dynamic environment.8+ years' experience in software development, data engineering.Bachelor's degree in computer science, Statistics, Informatics, Information Systems, or another quantitative field. Postgraduate/master's degree is preferred.
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