Data Quality Engineer

Must Have Skills
Extensive experience as Data Engineer with Python Language and Cloud Technologies (AWS preferably).
Experience in Automating ETL process/Pipelines and AWS Data & Infrastructure with Python.
Extensive experience with AWS components like S3, Athena, EMR, Glue, Redshift, Kinesis and SageMaker.
Extensive Experience with SQL/Unix/Linux scripting.
Developing/testing Experience on Cloud/On Prem ETL Technologies (Ab Initio, AWS Glue, Informatica, Alteryx).
Experience in Data migration from Onprem to Cloud is Plus.
Experienced in large-scale application development testing – Cloud/ On Prem Data warehouse, Data Lake, Data Science.
Extensive experience in DevOps/Data Ops space.
Having experience in Data Science platforms like SageMaker/Machine Learning Studio/ H2O is plus.
Work Description SDET – Python, AWS, Unix and ETL.
* Work with business stakeholders, Business Systems Analysts and Developers to ensure delivery of Data Applications.
* Building Automation Frameworks using Python.
* Designing and managing the data workflows using Python during development and deployment of data products
* Design, development of Reports and dashboards.
* Analyzing and evaluating data sources, data volume, and business rules.
* Should be well versed with the Data flow and Test Strategy for Cloud/ On Prem ETL Testing.
* Interpret and analyses data from various source systems to support data integration and data reporting needs.
* Experience in testing Database Application to validate source to destination data movement and transformation.
* Work with team leads to prioritize business and information needs.
* Develop and summarize Data Quality analysis and dashboards.
* Knowledge of Data modeling and Data warehousing concepts with emphasis on Cloud/ On Prem ETL.
* Execute testing of data analytic and data integration on time and within budget.
* Troubleshoot & determine best resolution for data issues and anomalies
* Has deep understanding of data architecture & data modeling best practices and guidelines for different data and analytic platforms
Nice to Have Skills
* Experience using Jenkins and Gitlab
* Experience using both Waterfall and Agile methodologies.
* Experience in testing storage tools like S3, HDFS
* Experience with one or more industry-standard defect or Test Case management Tools
* Great communication skills (regularly interacts with cross functional team members)
* Who takes Ownership to complete the tasks on time with less supervision
* Guiding developers and automation teams in case of an issue
* Monitoring, reviewing, and managing technical operations
* Effective problem-solving expertise, trouble shooting, code debugging, and root cause analysis skills.
Note: We are actively looking for Data Engineering (Python) profiles and good to have Testing experience. We need more Data Engineer skills