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ETL & Data Warehouse Engineer

ETL & Data Warehouse Engineer

Winning EdgeDelhi
30+ 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 / :
  • 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 :
  • Bachelors degree in Computer Science or Information Technology from an accredited :
  • 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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