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Data Quality Engineer

IT Services

Location

Hyderabad, Telangana, India

Job Type

Full Time, Work From Office

About the Role

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

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.


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.


About the Company

Our Client is a Digital and Cloud Technology Company based in Hyderabad. They have offices in USA, North America and India.

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