Sr. QA Engineer

Job Title: Sr. QA Engineer

• Experience: 5 yrs +

• Location: Bangalore

• Notice Period: immediate to 15 days

• Position Summary: The Data Quality Engineer will be responsible for designing, implementing, monitoring, and maintaining data quality processes and frameworks to ensure the accuracy, completeness, and integrity of our organization's data assets.

• Responsibilities:

Design and build data quality rules, checks, and validation processes using SQL, Python, or other scripting languages.

• Collaborate with data engineers, analysts, and subject matter experts to understand data requirements and establish data quality dimensions.

Identify data quality issues, determine root causes, and implement solutions to cleanse, standardize, and enrich data.

• Automate data quality checks and integrate them into

data pipelines and ETL processes. Establish data profiling and monitoring mechanisms to continuously assess data quality and identify anomalies or deviations.

• Test pipelines to ensure consistent quality and values of data from source system to target systems.

Develop and implement data quality standards, processes, and metrics to measure and monitor data quality across the organization.

Monitor data pipelines for failures or errors and work with data engineers and warehouse engineers to implement fixes in a timely manner. Implement data governance policies and procedures to ensure data consistency, traceability, and adherence to regulatory and compliance requirements.

• Develop and maintain documentation, including data quality rules, processes, and issue resolution guides.

Stay up-to-date with industry best practices, tools, and techniques related to data quality management.

• Requirements

: Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field, or equivalent practical experience.

5-7 years experience in designing, implementing, monitoring, and maintaining data quality processes and frameworks. Strong proficiency in SQL and programming languages like Python or Scala.

• Experience with data quality tools and frameworks(e.g., Talend Data Quality, AWS Glue DataBrew, Azure Data Quality Services).

Solid understanding of data modeling, database design, and data warehousing principles.

• Knowledge of

data integration and ETL processes, as well as experience with tools like Apache Airflow or AWS Data Pipeline. Familiarity with data governance and data management best practices.

• Strong analytical and problem-solving skills, with the ability to identify and resolve complex data quality issues.

Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.

• Preferred Qualifications

: Master's degree in a relevant field or equivalent experience.

• Experience with

big data technologies like Apache Spark, Hadoop, or Kafka. Knowledge of machine learning techniques for data quality management.

• Familiarity with cloud platforms like AWS, Azure, or GCP.

Certification in relevant technologies (e.g., Certified Data Quality Professional, AWS Certified Data Analytics - Specialty).

• Kratika

• 9329148614

• [Confidential Information]

Job Type: Full-time

Pay: 1,000,

• 00 - 1,900,000.00 per year
  
  Schedule:
• Day shift

Application Question(s):

• How soon you can join us

What is your current CTC

Experience:

• Quality assurance: 5 years (Required)

Work Location: In person

• Speak with the employer

+91 9329148614