Data Engineer Apply
Job Summary
As a skilled Data Engineer, your role encompasses a solid understanding of data science principles and will be responsible for building and maintaining an efficient data architecture that supports advanced data analysis and data science projects that enhance our Products and Business operations. If you are experienced in Data Engineering and looking for a place to grow, apply today!
location: Lehi, Utah
job type: Permanent
salary: $90,000 - 95,000 per year
work hours: 8am to 4pm
education: Bachelors
Responsibilities
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
Applications accepted on ongoing basis until filled.
As a skilled Data Engineer, your role encompasses a solid understanding of data science principles and will be responsible for building and maintaining an efficient data architecture that supports advanced data analysis and data science projects that enhance our Products and Business operations. If you are experienced in Data Engineering and looking for a place to grow, apply today!
location: Lehi, Utah
job type: Permanent
salary: $90,000 - 95,000 per year
work hours: 8am to 4pm
education: Bachelors
Responsibilities
- Collect, store, and process large volumes of data using AWS tools like Kinesis, Glue, or Data Pipeline to collect, store, and process large volumes of data.
- Experience with design and manage large datasets, finding pattern/anomalies, data quality (EDA), etc. for data analysis using AWS services such as Amazon S3, RDS, and Redshift.
- Develop, Train, and Deploy machine learning models with ML Ops E.g., classification, regression, clustering, NLP, CNN etc. using AWS SageMaker or related services.
- Implement analytical algorithms, working on predictive and prescriptive modeling.
- Create visualizations and dashboards using tools like Amazon Quicksight or integration with tools like Tableau, PowerBI.
- Creating DB objects e.g., Tables, procedure, triggers, functions etc.
- Write complex SQL queries and performance tuning/query optimization.
- Extract data from SQL/NoSQL databases to generate ad hoc reports for analysis.
- Script & write programs with Python and R
- Document procedures, workflows, and best practices related to data processing and modeling.
- 5+ years of experience as a Data Engineer working with large datasets, data analysis with an understanding of data science methodologies.
- 3+ years of experience with SQL based database technologies (Oracle, SQL, MySQL, Postgres) including store procedure, functions, triggers etc.
- 3+ years of experience with data visualization tools like Power BI, AWS QuickSight etc.
- 3+ years of experience with cloud services (preferably AWS), including SageMaker, S3, EC2, EMR, RDS, Airflow and Redshift.
- Experience level: Experienced
- Minimum 5 years of experience
- Education: Bachelors
- AWS
- Python
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
Applications accepted on ongoing basis until filled.
