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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