ETL Tester
Charlotte NC
Fulltime
Face to face is must
Must Have Technical/Functional Skills
Primary Skill: ETL testing
Secondary: ETL Testing Autosys SQL Shell Scripting Exposure to IDMC/Informatica
Experience: Minimum 10 years
Roles & Responsibilities
Analyze data mapping documents and business requirements to design comprehensive test plans and cases.
Perform source-to-target data reconciliation check data loading and ensure transformation rules are applied correctly.
Write complex SQL scripts for validation (count data completeness data consistency data truncation).
Identify log and track data defects using tools like JIRA or HP ALM or Octane.
Automate test scripts and validate data volume performance and scalability.
Expert-level knowledge of SQL for data analysis.
Experience with tools such as Informatica and IDMC.
Understanding of data warehouse concepts and architectures (e.g. star/snowflake schema).
Familiarity with Hadoop or Spark is often preferred.
Validate HiveQL HDFS file structures and data processing within the Hadoop cluster.
Strong analytical and troubleshooting skills.
Excellent communication for collaborating with developers and stakeholders.
Knowledge in Metadata dependent ETL process and batch/job framework
Tools & Skills:
IDMC Informatica Power center Hive Kafka Knowledge SQL Oracle PL/SQL
Domain: Banking knowledge Payments knowledge preferred.
Concept: Data Warehousing Data Transformation ETL/ELT Data Quality.
ETL Tester Charlotte NC Fulltime Face to face is must Must Have Technical/Functional Skills Primary Skill: ETL testing Secondary: ETL Testing Autosys SQL Shell Scripting Exposure to IDMC/Informatica Experience: Minimum 10 years Roles & Responsibilities Analyze data mapping documents and bu...
ETL Tester
Charlotte NC
Fulltime
Face to face is must
Must Have Technical/Functional Skills
Primary Skill: ETL testing
Secondary: ETL Testing Autosys SQL Shell Scripting Exposure to IDMC/Informatica
Experience: Minimum 10 years
Roles & Responsibilities
Analyze data mapping documents and business requirements to design comprehensive test plans and cases.
Perform source-to-target data reconciliation check data loading and ensure transformation rules are applied correctly.
Write complex SQL scripts for validation (count data completeness data consistency data truncation).
Identify log and track data defects using tools like JIRA or HP ALM or Octane.
Automate test scripts and validate data volume performance and scalability.
Expert-level knowledge of SQL for data analysis.
Experience with tools such as Informatica and IDMC.
Understanding of data warehouse concepts and architectures (e.g. star/snowflake schema).
Familiarity with Hadoop or Spark is often preferred.
Validate HiveQL HDFS file structures and data processing within the Hadoop cluster.
Strong analytical and troubleshooting skills.
Excellent communication for collaborating with developers and stakeholders.
Knowledge in Metadata dependent ETL process and batch/job framework
Tools & Skills:
IDMC Informatica Power center Hive Kafka Knowledge SQL Oracle PL/SQL
Domain: Banking knowledge Payments knowledge preferred.
Concept: Data Warehousing Data Transformation ETL/ELT Data Quality.
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