Data Quality Engineer

Data Engineer (Python, AWS)

Need 10+ years candidates

Note: Should be strong at Python & AWS

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.

Note: We are actively looking for Data Engineering (Python) profiles and good to have Testing experience. We need more Data Engineer skills.