Data QA - Senior Analyst

apartmentAnnalect India placeBangalore calendar_month 

Job Description

Overview

Job Title: Senior Analyst Data QA
Location: All location
Position: Full-time

Department: Annalect Engineering

Position Overview

Annalect is currently seeking a Senior Analyst Data QA to join our dynamic and Innovative Technology team. In this role, you will work on one or more data products in the Annalect Engineering Team. You will participate in technical architecture, design, and QA of software products as well as research and evaluation of new technical solutions.

This role offers a unique opportunity for individuals passionate about both data quality and software development to contribute significantly to the reliability and integrity of data-driven functionalities within software applications. The Senior Analyst Data QA plays a crucial role in ensuring that data-driven features meet the highest standards of quality

Responsibilities
  • Work closely with Data Analyst, Architects to achieve DQ objectives
  • Validating data pipelines and ensuring the quality of datasets
  • Collaborate with the Data Delivery technology teams and architects to define and develop solutions
  • Gather business requirements for the building of the Data Quality Dashboard that will include the full set of functionalities from exception identification to remediation
  • Formulate and actively develop test cases, test scripts, and output report specifications for data remediation projects
  • Maintain up-to-date documentation for the Data quality audits and processes
  • Manage and provide data quality control
  • Create and manage functional test cases and provide solutions to team issues.
  • Able to integrate data QA automation using DQ tools
  • Should be able to research new tools and technologies for project.
  • Come up with innovations which team can get benefit from
  • Troubleshooting skills to optimize performance.
Qualifications
  • 5+ Years of Experience in Data Test Automation, Data Comparison and Validation.
  • Must have experience in ETL/ELT tools and pipeline
  • Working experience with Python libraries such as Pandas, NumPy, and SQL Alchemy for ETL
  • Strong understanding of Data Warehouse/Data Lake Architecture and Development
  • Experience with relational SQL and NoSQL databases
  • Good knowledge of SQL, DB Procedures, Packages, and Functions.
  • Experience with data pipeline and workflow management tools
  • Experience working with relational databases
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience in SQL injection, and query performance (Athena).
  • Must have CI/Cd knowledge
  • Knowledge of best practices in data analysis.
  • Excellent interpersonal and communication skills.
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