
ETL/Data Warehouse Consultant
2 days ago
Job Description :
Primary Duties/Responsibilities :
- Maintain and provide enhancements to data architecture within new/existing systems including Data Warehouse.
- Recommend and implement processes to improve data quality, data reliability, and database performance.
- Employ variety of ETL and integration tools for system and data integrations.
- Architect solutions that support data scientist and business stakeholders.
- Conduct ETL testing and data transformation testing.
- Develop data models for data science team that can be utilized for data mining.
- Maintain source to target documentation and process flow documentation.
- Take on DBMS responsibilities and wear multiple hats such as : ETLs, serve as SQL Server DBA Processes/Job/Error Handling/Troubleshooting/Scheduling, etc.
- Proactively monitor ETL Processes / Jobs
Experience :
- Relevant hands-on work experience in a Datawarehouse testing role.
- ETL (Extract Transform Load)/ODS (Operational Data Store) experience.
- MS SQL Server
- Commercial Real Estate experience preferred.
Education :
- Bachelors degree in Computer Science or Information Technology from an accredited institution
Skills :
- ETL Tools : SSIS 5+ years, Azure Data Factory (ADF) 3+ year, ZappySys 1yr, APIs 2+ years.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. (4+ years of SQL), and working knowledge of Azure.
- Proficient in MS SQL Server database including setting indexes, database security, and backups.
- Data Testing : 3+ years
- Fundamental knowledge of data warehouse concepts
- Data Warehouse testing : 2+ year.
- Javascript 1+ years, C# 2+ Years
- Experience in data duality, source systems analysis, and business rules validation.
- Ability to write and understand Source to Target documentation.
- Detail oriented and meticulous approach to duties.
- Keep our data separated and secure. Familiarity with data and cybersecurity.
- Good analytical skills.
- A knack for independent and group work.
- Capacity to successfully manage a pipeline of duties with minimal supervision.
(ref:hirist.tech)
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