Data Engineer

Hands-on experience with Data Testing either with Python or Pyspark.
Deep understanding of data test concepts primarily inclined towards ETL. -on with ETLDWH testing and SQL (any RDBMS)Hands-on experience with any DB, preferably Oracle and should be able to readunderstandalter stored procedures. Strong experience in BDD with Cucumber or similar framework Experience in Azure DevOps to integrating automated testing into a CICD pipeline using Jenkins or GitLab runner. Good Knowledge in GCP Storage Buckets, BigQuery, Dataflow and Cloud Function. (Any Cloud)Hands-on experience with one of more programming languages (Java JavaScript)Experience with non-functional testing with JMeter or similar. Proven experience and ability to create best practices and policies to improve quality at program level. Strong technical skills and ability to solve Quality Engineering technical problems. Strong problem-solving skills and managing multiple stakeholders. Excellent communication skills and should be able to manage client stakeholders and act as a liaison between QE team and clients. Experience managing a mid-size team of QAs working on multiple products. Accomplishes quality assurance objectives by monitoring, reviewing, and enforcing policies and procedures. Analyze production data to identify areas of growth. Excellent data analyzing and review skills. Experience of working in an agile environment and the role of QA in agile ceremoniesKnowledge on Jira, Zephyr for Test ManagementProficient Testing experience