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Data QA Engineer

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
India

Offer summary

Qualifications:

BA/BS in related field, 1-2 years experience in financial services, 1 year experience building data QA processes, Familiarity with large data sets, Experience with Azure or comparable tools.

Key responsabilities:

  • Build and maintain data QA processes
  • Establish best practices for data quality
  • Work with Data Engineers on data accuracy
  • Develop plans to assess new data sources
  • Analyze and remediate data quality issues
Alternative Path logo
Alternative Path Scaleup https://www.alternative-path.com/
51 - 200 Employees
About Alternative Path
Alternative Path provides Technology, Business Intelligence, and Financial services. We help small to medium sized enterprises establish their presence in India in the technology and finance space. Our teams' decades of experience in setting up of Centers of Excellence (COE) and smaller teams have helped Organizations harness the full potential of skilled and diverse talent in India. Our implementation teams have delivered numerous projects across Technology functions such as Software Quality Assurance, Application Development, Technology Infrastructure, Application Support, and Data Management and Analysis and Finance functions such as Fund Accounting, Management Reporting, Investor Reporting, Reconciliation, Treasury Workflow and Deal Management, and Record to Report processes. As our name, Alternative Path, suggests we were formed to take a different approach, which is rooted deep in a Quality driven delivery process that is missing in typical service engagements large or small.We were formed in 2020 and are based in Gurgaon, India.
See more Alternative Path offers

Job description

This is a remote position.

JOB DESCRIPTION: 

To satisfy the needs of our growing data management function, the Client is looking to hire a QA Engineer to join our Enterprise Data team. The Enterprise Data team is responsible for developing new processes, assisting with the deployment of the Client’s Data Fabric, and establishing best practices for Data Management. Our knowledgeable team is actively involved in special projects and initiatives with all departments including investments, fin-tech, analytics, business development, and relationship management. 
Requirements


  • Build and maintain data QA processes for the Client’s Data Fabric. 
  • Establish best practices as it relates to data quality in an enterprise-wide data warehouse. 
  • Work with Data Engineers to ensure complete and accurate data is provided to the business users within the Client’s Data Fabric. 
  • Develop and implement plans for assessing the quality of new data sources 
  • Work with Data Engineers to evaluate and approve changes in the Client’s Data Fabric. 
  • Design and conduct analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps. 
  • Ability to understand and communicate effectively about the private market asset class.
​

NECESSARY QUALIFICATIONS; Education and/or Experience: 

  • BA/BS in related field (e.g., business/finance/engineering/information technology/mathematics/physical sciences) 
  • 1-2 years of work experience in the financial services industry preferred  
  • 1 year of experience building data QA processes, financial services organization a plus 
  • Comfort and familiarity with large data sets, star schema databases, reporting and query tools 
  • Must have experience with Azure and Azure Synapse Analytics, or comparable tools within AWS or GCP 
  • Must be proficient in one query language (e.g. T-SQL) 
  • Familiarity with star schema data models 
  • Must be detail oriented, organized, and possess good analytical skills 
  • Must be able to handle multiple assignments/initiatives 
  • Excellent writing, communication, and presentation skills
Benefits
  • Medical Insurance
  • Variable Bonus
  • Group Accidental Insurance
  • Internet & Mobile Bill Reimbursements 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Financial ServicesReporting ToolsData Quality AssessmentSQL (Programming Language)Azure Synapse AnalyticsStar SchemaMicrosoft AzureDatabase Query ToolsData AnalysisData Management

Other Skills

  • Organizational Skills
  • Detail Oriented
  • Verbal Communication Skills
  • Analytical Skills
Are you interested?

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