What are the responsibilities and job description for the Senior Data engineer position at SMARTWORK IT SERVICES LLC (SWITS)?
Job Title: Senior Data Engineer
Location: Sunnyvale, CA – Hybrid Onsite
Job Type: Contract
Job Description
Location: Sunnyvale, CA – Hybrid Onsite
Job Type: Contract
Job 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, Cosmo DB, Databricks and other legacy databases.
- Build analytics Dashboard/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.
- 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 on 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 Dashboard, Metrics and 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 tool 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, and
- Bachelor’s degree in computer science, Statistics, Informatics, Information Systems, or another quantitative field. Postgraduate/master’s degree is preferred.
