Data Validation Engineer

12 hours ago

Hyderabad City Taluka, Pakistan beBee Careers Full time

Job Description

We are seeking a highly skilled Data Validation Engineer to join our team. In this role, you will be responsible for ensuring the accuracy and integrity of our data.

Key Responsibilities:

  • Data validation and testing: Validate data quality, integrity, and consistency across different datasets.
  • SQL and database knowledge: Proficiency in SQL for querying and validating data in various types of databases (relational and non-relational).
  • Programming languages: Knowledge of programming languages like Python or R, particularly for data manipulation, automation, and building custom validation scripts.
  • Engineering: Build systems and datasets to meet data quality objectives, using software engineering, data management, and operational best practices.
  • Analysis and design: Analyze systems and data to identify data quality gaps, detect anomalies, and provide solutions. Design and document data models and transformation specifications.
  • Data warehousing: Understanding of data warehousing concepts, ETL processes, and tools (e.g., Apache Airflow, Talend).
  • Data quality tools: Familiarity with tools like Apache Spark, Pandas, Great Expectations, Informatica Data Quality, Talend Data Quality, etc.
  • Big data technologies: Experience with big data frameworks like Hadoop, Apache Spark, and distributed computing environments.
  • API testing: Skills in testing and validating data flows through APIs and web services.
  • Data governance and compliance: Knowledge of data governance frameworks, data privacy.
  • Tooling aptitude: Successful track record of instrumenting tools, automation, and processes at scale for frontend and backend quality engineering activities (Unit, Integration, User journey, Load, payment, regression testing).
  • Software quality: Understanding of automation workflows, CICD release pipelines, test environments across multiple products and release within an agile development framework.
  • Effective communication: Technical documentation, experience using various tools and technologies such as JIRA, Confluence, GitHub.
  • Partnering across teams: Partner with analysts, engineers, subject matter experts, and product managers to apply WBD's analytical and quality methods to satisfy stakeholder needs.
  • Improvement driven: Experience working with DevOps teams to drive improvements in Release Tools pipeline for automated tracking and reporting on release artifacts: JIRA items, sprint scope, bug report, test report, release notes.

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