Job Description
Concentrix Global Analytics team is seeking an enthusiastic and experienced Principal Data quality Engineer with strong technical skills, combined with a rare curiosity and creativity. The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. Beyond technical prowess, the person will need strong communication skills for clearly communicating highly complex data trends to organizational leaders.
We are looking for an experienced Principal Data Quality Engineer to help test their Data Platform. The potential candidate must have proven expertise with ETL Testing and AWS experience to help the internal teams to build an effective and futuristic data platform. This role is essential for ensuring that Data systems meet the highest quality standards and support the organization’s strategic objectives.
Duties and Responsibilities:
• Develop, implement, and oversee data quality strategies and frameworks to ensure high standards across the organization's Data Platform.
• ETL Testing: Design and execute comprehensive ETL test plans, including test case development, data validation, and performance testing.
• Data Pipeline Management: Monitor and optimize data pipelines using AWS services like Glue, S3, Athena, MSK, SQS, Lambda, and Step Functions to ensure reliable and efficient data processing.
• Automation and Scripting: Create and maintain automated scripts and tools for data quality validation using Python to streamline testing and data integrity checks.
• Work closely with data engineers, analysts, and stakeholders to understand data requirements, identify quality issues, and propose solutions.
• Provide detailed documentation of data quality processes, methodologies, and results.
Qualifications Required:
• 10-15 years’ proven experience in Data Quality engineering or related roles.
• Extensive experience in Data Quality engineering with a strong focus on ETL testing.
• Proven experience with AWS services including Glue, S3, Athena, MSK, SQS, Lambda, and Step Functions.
• Good Experience on SQL.
• Proficiency in Python for scripting and automation tasks.
• Experience with test management tools like Azure DevOps, Zephyr etc.
• Experience working in Agile - Scrum/Kanban
• Strong analytical and problem-solving skills with the ability to handle complex data issues and requirements.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Demonstrated ability to lead projects and mentor team members effectively.
• High attention to detail with a strong focus on accuracy and data integrity.
• Continuous learning mindset and willingness to adapt to new technologies and techniques.
Location: Bangalore, Whitefield Area
Working mode: Hybrid with 2 days a week.
Only preferring immediate joiners who can join max in 10-15days.
We are looking for an experienced Principal Data Quality Engineer to help test their Data Platform. The potential candidate must have proven expertise with ETL Testing and AWS experience to help the internal teams to build an effective and futuristic data platform. This role is essential for ensuring that Data systems meet the highest quality standards and support the organization’s strategic objectives.
Duties and Responsibilities:
• Develop, implement, and oversee data quality strategies and frameworks to ensure high standards across the organization's Data Platform.
• ETL Testing: Design and execute comprehensive ETL test plans, including test case development, data validation, and performance testing.
• Data Pipeline Management: Monitor and optimize data pipelines using AWS services like Glue, S3, Athena, MSK, SQS, Lambda, and Step Functions to ensure reliable and efficient data processing.
• Automation and Scripting: Create and maintain automated scripts and tools for data quality validation using Python to streamline testing and data integrity checks.
• Work closely with data engineers, analysts, and stakeholders to understand data requirements, identify quality issues, and propose solutions.
• Provide detailed documentation of data quality processes, methodologies, and results.
Qualifications Required:
• 10-15 years’ proven experience in Data Quality engineering or related roles.
• Extensive experience in Data Quality engineering with a strong focus on ETL testing.
• Proven experience with AWS services including Glue, S3, Athena, MSK, SQS, Lambda, and Step Functions.
• Good Experience on SQL.
• Proficiency in Python for scripting and automation tasks.
• Experience with test management tools like Azure DevOps, Zephyr etc.
• Experience working in Agile - Scrum/Kanban
• Strong analytical and problem-solving skills with the ability to handle complex data issues and requirements.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Demonstrated ability to lead projects and mentor team members effectively.
• High attention to detail with a strong focus on accuracy and data integrity.
• Continuous learning mindset and willingness to adapt to new technologies and techniques.
Location: Bangalore, Whitefield Area
Working mode: Hybrid with 2 days a week.
Only preferring immediate joiners who can join max in 10-15days.
💡 Quick Summary
Seeking a career-building opportunity? The Principal Data Quality Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Jaipur offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
