Data Quality Engineer( Python ) Need Local Profiles. Onsite from Day 1 Need resources to take both L1 & L2 In-person Note: We are actively looking for Data Engineering (Python) profiles and good to have Testing experience. We need more Data Engineer skills. Job Requirements: Must Haves 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
Soft Skills 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.
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