SDET- India (Chennai/Bangalore)

You have a strong background in ETL/Bigdata Manual and Automation Testing with at least 8 years of experience. Your understanding of Data warehouse concepts such as Fact / Dimensional modeling and Data Vault 2.0 modeling is good. You have experience in migrating data-related projects, including validation of data from SQL / Oracle to modern databases like Snowflake / Postgres, etc. It would be beneficial if you have experience in ETL Orchestration tools like Microsoft SSIS, Informatica, Talend, Apache-Airflow, etc., and understanding their task flow. Writing SQL, Python, and PySpark queries in Jupyter Notebook is your expertise. You are skilled in implementing both On-prem and cloud data connections to automate data validations between heterogeneous sources. Additionally, you have experience in building a robust automation framework to read Rest API's, jsons, text, and CSV files and compare them against RDBMS. Your ability to implement and maintain CI/CD pipelines for automated testing and reporting is commendable. You have worked with AWS S3, Minio, Airflow, Snowflake, Postgres, Tableau, SuperSet, and Jira. Proficiency in data automation using Python, Pytest, BDD, Robot Framework, etc., is expected from you. Being a team player and supporting team members in upskilling on automation implementation and maintenance is essential. It would be preferred if you have knowledge of the financial domain. - Strong background in ETL/Bigdata Manual and Automation Testing - Good understanding of Data warehouse concepts - Experience in migration of data-related projects - Familiarity with ETL Orchestration tools - Expertise in writing SQL, Python, and PySpark queries - Hands-on experience in implementing data connections - Proficiency in building automation frameworks - Knowledge of CI/CD pipelines - Experience with various data tools and platforms - Proficiency in data automation using Python, Pytest, BDD, Robot Framework No additional details of the company are provided in the job description. You have a strong background in ETL/Bigdata Manual and Automation Testing with at least 8 years of experience. Your understanding of Data warehouse concepts such as Fact / Dimensional modeling and Data Vault 2.0 modeling is good. You have experience in migrating data-related projects, including validation of data from SQL / Oracle to modern databases like Snowflake / Postgres, etc. It would be beneficial if you have experience in ETL Orchestration tools like Microsoft SSIS, Informatica, Talend, Apache-Airflow, etc., and understanding their task flow. Writing SQL, Python, and PySpark queries in Jupyter Notebook is your expertise. You are skilled in implementing both On-prem and cloud data connections to automate data validations between heterogeneous sources. Additionally, you have experience in building a robust automation framework to read Rest API's, jsons, text, and CSV files and compare them against RDBMS. Your ability to implement and maintain CI/CD pipelines for automated testing and reporting is commendable. You have worked with AWS S3, Minio, Airflow, Snowflake, Postgres, Tableau, SuperSet, and Jira. Proficiency in data automation using Python, Pytest, BDD, Robot Framework, etc., is expected from you. Being a team player and supporting team members in upskilling on automation implementation and maintenance is essential. It would be preferred if you have knowledge of the financial domain. - Strong background in ETL/Bigdata Manual and Automation Testing - Good understanding of Data warehouse concepts - Experience in migration of data-related projects - Familiarity with ETL Orchestration tools - Expertise in writing SQL, Python, and PySpark queries - Hands-on experience in implementing data connections - Proficiency in building automation frameworks - Knowledge of CI/CD pipelines - Experience with various data tools and platforms - Proficiency in data automation using Python, Pytest, BDD, Robot Framework No additional details of the company are provided in the job description.