| Big Data Engineer- Data Scientist- Austin, Texas at Austin, Texas, USA |
| Email: [email protected] |
| From: bala, Millennium Infotech [email protected] Reply to: [email protected] Hi Professional, We are looking for Data Scientist (Big Data Engineer) at Austin, Texas. The candidate should have atleast 10+ years of experience with the requirements below. The below skill sets should be match with the resume. Responsibilities will include: Data Conversion and Reporting Support for System Modernization Efforts Data Transformation and Integration: Prepare and optimize data for migration to Snowflake and SAS Viya platforms, ensuring seamless integration and functionality by creating data transformation processes using ETL, SQL, Python, and R. Develop Federal and State Reports: Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya, ensuring accuracy and compliance. Scrum Team Collaboration: Work as a member of an agile team to deliver new features and functions, delivering best-in-class value-based technology solutions. Data Quality Management: Develop and implement databases, ETL processes, data collection systems, and data quality strategies that optimize statistical efficiency, accuracy, and quality. Problem Examination and Resolution: Examine problems within the Data Intelligence space using ETL, Lambda, and Glue, and implement necessary changes to ensure data quality improvement. Data Analytics and Insights: Utilize advanced data analytics techniques to support strategic decision-making, ensuring data integrity, quality, and timeliness of results. II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 8 Required Proven experience in data conversion and report building using Snowflake and SAS Viya. 8 Required Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. 8 Required Experience working with data analytics and business intelligence tools. 4 Required Experience working in a Scrum or Agile development environment. 4 Required Proficiency in ETL processes and tools such as AWS Glue and Lambda. 4 Required Strong knowledge of database management and data warehousing concepts. 4 Required Expertise in SQL for data querying and manipulation. 4 Required Proven experience in data conversion and report building using Snowflake and SAS Viya. 4 Required Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. 4 Required Experience working with data analytics and business intelligence tools. 4 Required Experience working in a Scrum or Agile development environment. 4 Required Proficiency in ETL processes and tools such as AWS Glue and Lambda. Keywords: rlang Big Data Engineer- Data Scientist- Austin, Texas [email protected] |
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| Fri Oct 18 02:35:00 UTC 2024 |