Data Quality Engineer

Job Description: Requirements:
• Extensive Experience in Data migration is a must ( Teradata to Redshift preferred)
• Extensive testing Experience with SQL/Unix/Linux scripting is a must
• Extensive experience testing Cloud/On Prem ETL (e.g. Abinitio, Informatica, SSIS, Datastage, Alteryx, Glu)
• Extensive experience DBMS like Oracle, Teradata, SQL Server, DB2, Redshift, Postgres and Sybase.
• Extensive experience using Python scripting and AWS and Cloud Technologies.
• Extensive experience using Athena, EMR, Redshift, AWS, and Cloud Technologies
• Experienced in large-scale application development testing – Cloud/ On Prem Data warehouse, Data Lake, Data Science
• Experience with multi-year, large-scale projects
• Expert technical skills with hands-on testing experience using SQL queries.
• Extensive experience with both data migration and data transformation testing
• API/RestAssured automation, building reusable frameworks, and good technical expertise/acumen
• Java/Java Script - Implement core Java, Integration, Core Java and API.
• Functional/UI/ Selenium - BDD/Cucumber, Specflow, Data Validation/Kafka, BigData, also automation experience using Cypress.
• AWS/Cloud - Jenkins/ Gitlab/ EC2 machine, S3 and building Jenkins and CI/CD pipelines, SouceLabs.
• API/Rest API - Rest API and Micro Services using JSON, SoapUI
• Extensive experience in DevOps/Data Ops space.
• Strong experience in working with DevOps and build pipelines.
• Strong experience of AWS data services including Redshift, Glue, Kinesis, Kafka (MSK) and EMR/ Spark, Sage Maker etc…
• Experience with technologies like Kubeflow, EKS, Docker
• Extensive experience using No SQL data and unstructured data experience like MongoDB, Cassandra, Redis, ZooKeeper.
• Extensive experience in Map reduce using tools like Hadoop, Hive, Pig, Kafka, S4, Map R.
• Experience using Jenkins and Gitlab
• Experience using both Waterfall and Agile methodologies