| Senior data engineer at Sacramento, California, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2365880&uid=c4a174ef80f440d8803151e15db714c0 From: Preeti tyagi, tek inspiration llc [email protected] Reply to: [email protected] Job Description -Senior Data Engineer Location: Sacramento, CA Hybrid Must be local LINKEDIN With Profile Picture 2 years contract Must have previously worked with - New York: Department of Labor (NYDOL) Texas: Texas Workforce Commission (TWC) Florida: Department of Economic Opportunity (DEO) Illinois: Illinois Department of Employment Security (IDES) Washington: Employment Security Department (ESD) Massachusetts: Department of Unemployment Assistance (DUA) Michigan: Unemployment Insurance Agency (UIA), part of Michigan Department of Labor and Economic Opportunity (LEO) Ohio: Ohio Department of Job and Family Services (ODJFS) Pennsylvania: Department of Labor and Industry (L&I) Oregon: Oregon Employment Department (OED) Colorado: Colorado Department of Labor and Employment (CDLE)Job Description We are seeking a Senior Data Engineer that has Large-Scale project experiences with projects valued over $50ML. Location: Sacramento, CA Duration: 2-years Minimum Mandatory Qualifications SENIOR DATA ENGINEER 1 A minimum of four (4) years of experience, in developing and monitoring data pipelines, ETL/ELT (Extract Transform Load / Extract Load Transform). 2 A minimum of five (5) years of experience developing in SQL and one (1) year of experience translating between different versions of SQL. 3 A minimum of five (5) years of experience developing with ETL Tools including SSIS, SAS DI Studio, and AWS Glue, and Lambda. 4 A minimum of five (5) years of experience developing Rest APIs, including experience with JSON, C#, and Python. 5 A minimum of three (3) years of experience, in database design, database development, and database security. 6 A minimum of three (3) years of experience, working as a lead with data conversion and migration efforts involving legacy data formats and legacy data repositories such as IBM Mainframe. 7 A minimum of three (3) years of experience with Microsoft Visual Studio and Git Code Repositories. 8 A minimum of three (3) years of experience with Cloud Technologies in in AWS (e.g. glue and lambda) and Snowflake . 9 A minimum of five (5) years of experience working on a large-scale modernization projects involving data conversion and migration projects over $50 million in budget, designing and creating raw, integration, and presentation layers. 10 A minimum of three (3) year experience working with Unemployment Insurance and Disability Insurance data. 11 A minimum of three (3) years of experience designing and optimizing data warehouses and data lakes. 12 A minimum of three (3) years of experience with Terraform, Kubernetes, Docker, and CI/CD pipelines. 13 A minimum of three (3) years of experience in automating workflows and data pipelines. 14 A minimum of three (3) years of experience in identifying bugs and bottlenecks. Identifying poor performance and optimize ELT/ETL pipeline. 15 A minimum of three (3) years of experience working with JSON, API, CSV, SQL and Parquet files. 16 *Bachelors degree in computer science, engineering, information systems, math or a technology related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. Desired (Highly Desired) 1 Six (6) or more years of experience in developing and monitoring data pipelines, ETL/ELT (Extract Transform Load / Extract Load Transform). 2 Seven (7) or more years of experience developing in SQL and three (3) or more years of experience translating between different versions of SQL. 3 Seven (7) or more years of experience developing with ETL Tools including SSIS, SAS DI Studio, and AWS, Glue, and Lambda. 4 Seven (7) or more years of experience developing Rest APIs, including experience with JSON, C#, and Python. 5 Five (5) or more years of experience in database design, database development, and database security. 6 Five (5) or more years of experience working as a lead with data conversion and migration efforts involving legacy data formats and legacy data repositories such as IBM Mainframe. 7 Five (5) or more years of experience with Microsoft Visual Studio and Git Code Repositories. 8 Five (5) or more years of experience with Cloud Technologies in AWS (e.g. glue and lambda) and Snowflake 9 Seven (7) or more years of experience working on large scale modernization projects involving data conversion and migration projects over $50 million in budget, designing and creating raw, integration, and presentation layers. 10 Seven (7) or more years of experience working with Unemployment Insurance and Disability Insurance data. 11 Five (5) or more years of experience designing and optimizing data warehouses and data lakes 12 Five (5) or more years of experience with Terraform, Kubernetes, Docker, and CI/CD pipelines. 13 Five (5) or more years of experience in automating workflows and data pipelines. 14 Five (5) or more years of experience in identifying bugs and bottlenecks. Identifying poor performance and optimize ELT/ETL pipeline. 15 Five (5) of more years of experience working with JSON, API, CSV, SQL and Parquet files. 16 *Master's degree in computer science, engineering, information systems, math or a technology related field. Additional qualifying experience may be substituted for the required education on a year-for-year basis Keywords: csharp continuous integration continuous deployment California Senior data engineer [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2365880&uid=c4a174ef80f440d8803151e15db714c0 |
| [email protected] View All |
| 06:46 AM 23-Apr-25 |