Ariqt

Ariqt International - Software Engineer - Data Quality

4 days ago

Save Job

Job Description

Responsibilities :

Design, develop, and implement data quality frameworks, rules, and standards across various data pipelines and systems.
Build and maintain automated data quality checks and validation processes using programming languages and data quality tools.
Profile and analyze data to identify data quality issues, anomalies, and inconsistencies.
Develop and execute data cleansing and transformation scripts to improve data quality.
Monitor data quality metrics and dashboards to track data accuracy, completeness, and consistency.
Collaborate with data engineers to embed data quality checks within ETL/ELT processes.
Work closely with data scientists and business analysts to understand data requirements and quality expectations for analytical use cases.
Investigate and resolve data quality issues, identifying root causes and implementing corrective actions.
Contribute to the development of data governance policies and procedures.
Document data quality rules, processes, and monitoring mechanisms.
Evaluate and integrate new data quality tools and technologies into our existing infrastructure.
Participate in code reviews to ensure the quality and maintainability of data quality-related code.
Contribute to the continuous improvement of our data engineering practices and data quality standards.

Technical Skills & Qualifications (Mandatory)

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
3-5 years of hands-on experience in a data-focused role, with a significant emphasis on data quality.
Strong proficiency in at least one programming language relevant to data processing (Python, Java, Scala).
Experience with SQL and relational databases (PostgreSQL, MySQL, SQL Server).
Experience in writing and executing data quality checks and validation scripts.
Understanding of data profiling techniques and tools.
Familiarity with data cleansing and transformation methodologies.
Experience working with large datasets and data pipelines.
Strong analytical and problem-solving skills with a keen attention to detail.
Excellent communication (written and verbal) and collaboration skills.
Experience with version control systems (Git).

Preferred Skills

Experience with dedicated data quality tools and platforms (Informatica Data Quality, Talend Data Quality, Great Expectations, Deequ).
Experience with big data technologies (Spark, Hadoop, Hive).
Knowledge of data warehousing concepts and data modeling.
Familiarity with cloud data platforms (AWS, Azure, GCP) and their data quality services.
Experience with data governance frameworks and tools.
Understanding of data lineage and metadata management.
Experience with scripting languages for automation (e.g., Bash).
Familiarity with CI/CD pipelines and integrating data quality checks.
Exposure to data visualization tools (Tableau, Power BI) for data quality monitoring.

Personal Attributes

Strong passion for data and a commitment to ensuring data integrity.
A proactive and detail-oriented approach to problem-solving.
Ability to work independently and as part of a collaborative team.
Excellent organizational and time management A continuous learning mindset and willingness to explore new technologies.

(ref:hirist.tech)

Upload your resume and get feedback from our expert to help land this job

Upload your resume and get feedback from our expert to help land this job