• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 27th Nov 2023

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.