Data QA Abinto ETL
Role- Data QA
Primary Skill- ETL Testing, SQL, Data Warehousing, DB2/ Oracle, Spark, Hive
Secondary skills- Snowflake, Azure Data Lake(ADLS)
Location- Remote
Responsibilities:
The Candidate is expected to work on large datasets and will be involved in ETL testing, and thorough validation between the source and target
Develop and execute test plans, test cases, and scripts to validate data accuracy, completeness, and integrity.
Perform functional, integration, regression, and performance testing of data pipelines, ETL processes, and databases.
Identify and investigate data anomalies, inconsistencies, and discrepancies; troubleshoot and resolve data quality issues.
Collaborate with data engineers, data architects, business analysts, and other stakeholders to understand data requirements and ensure data quality standards are met.
Document test plans, test results, and data quality issues; communicate findings and recommendations effectively to technical and non-technical stakeholders
Recommend and implement improvements to data quality processes, tools, and methodologies.
Automate data validation and testing processes where possible to improve efficiency and accuracy.
Requirements - Must Have Skills:
6 years of total technical experience on ETL testing
Experience in developing ETL test plans, test cases and validating large scale data migrations.
Strong understanding of ETL processes, SQL, Spark, Hive and data migration
Advanced proficiency in writing SQL queries, hands-on experience with Hive, Spark, Spark SQL and data frame API.
Experience with Snowflake data warehousing.
Experience with data quality automation tools and frameworks.
Ability to document and present findings clearly and concisely.
Excellent verbal and written communication skills.
Strong analytical and problem-solving skills.
Need to be excellent team player.
Apply Now
Apply Now
Primary Skill- ETL Testing, SQL, Data Warehousing, DB2/ Oracle, Spark, Hive
Secondary skills- Snowflake, Azure Data Lake(ADLS)
Location- Remote
Responsibilities:
The Candidate is expected to work on large datasets and will be involved in ETL testing, and thorough validation between the source and target
Develop and execute test plans, test cases, and scripts to validate data accuracy, completeness, and integrity.
Perform functional, integration, regression, and performance testing of data pipelines, ETL processes, and databases.
Identify and investigate data anomalies, inconsistencies, and discrepancies; troubleshoot and resolve data quality issues.
Collaborate with data engineers, data architects, business analysts, and other stakeholders to understand data requirements and ensure data quality standards are met.
Document test plans, test results, and data quality issues; communicate findings and recommendations effectively to technical and non-technical stakeholders
Recommend and implement improvements to data quality processes, tools, and methodologies.
Automate data validation and testing processes where possible to improve efficiency and accuracy.
Requirements - Must Have Skills:
6 years of total technical experience on ETL testing
Experience in developing ETL test plans, test cases and validating large scale data migrations.
Strong understanding of ETL processes, SQL, Spark, Hive and data migration
Advanced proficiency in writing SQL queries, hands-on experience with Hive, Spark, Spark SQL and data frame API.
Experience with Snowflake data warehousing.
Experience with data quality automation tools and frameworks.
Ability to document and present findings clearly and concisely.
Excellent verbal and written communication skills.
Strong analytical and problem-solving skills.
Need to be excellent team player.
Apply Now
Apply Now