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Job Description

A Fortune 50 client is looking for Azure Data Engineers to come join their team as this client has a large project where they are trying to bring data in from external sources into their ecosystem. Currently the data is coming in from external sources such as Snowflake, Blue Yonder, and other third-party logistics software in addition to external data warehouses, and this client is looking to bring the data into their environment using ADF. With the overall goal to build reports on top of the data ingested. The files are currently coming in and API call and then getting pulled into ADF. This role is remote in India; however we are looking for someone who can work between 11:30 AM IST to 11:00 PM IST.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

3-5 years of hands-on Azure data engineering experience

Strong experience in Azure Data Factory and Azure Databricks

Experience working in S4 HANA

Strong expertise in SQL optimization and performance tuning

Development experience in programming languages like Python, PySpark, Scala etc.

Experience extracting data from Snowflake

ADO experience for storyboard and project tracking

Ability to work in Scrum environment

Good interpersonal skills, is a "go-getter", can-do attitude is key Experience with data from TPL systems (Blue Yonder preferred)

Any experience with data profiling and data quality tools such as Apache Griffin, Deequ, and Great Expectations, etc.

Any experience with reporting tools like Power BI

Any experience with S4 HANA null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].