Urgent - Sr Data Engineer (AWS, ETL, Python) with SAP HANA Database experience

[utkarsh dwi]

Hi Team,

This side Utkarsh from 1Point System we have an opening for  Sr Data Engineer (AWS, ETL, Python) with SAP HANA Database experience at Atlanta, GA,

Please have a look at complete JD and do let me know so that we can proceed further.

Job: SETL / AWS / Python Developer

Sr Data Engineer (AWS, ETL, Python) with SAP HANA Database experience
Long-Term Contract
Atlanta, GA | Onsite from day one
Visa: No H1B

Note from Client:
This This is a Sr. Data Engineer role but associated with Data Engineering along with experience handling Linux systems and stored procedures in SAP HANA database.
They won’t consider resumes without SAP HANA Database experience.
This person will assist in design, development, and implementation of end-to-end complex ETL system using Informatica , Alteryx and SAP HANA tools.
Data ingestion to Azure/ AWS and data lake and lake formation is a big PLUS.

Qualifications:

• 5 years of relevant experience.
• Bachelor’s Degree in computer science, Information Systems, or related field
• Good experience in Python & SQL
• Good Understanding of cloud computing and AWS architecture and best practices
• Development experience on Lambda with Python or Java
• Must have experience in using AWS services API, AWS CLI and SDK
• Working experience on AWS services like EC2, S3, Route 53, Cloud watcher
• Python/ETL Developer with Strong AWS experience
• Use of AWS technologies for building, deploying, and operating applications -Very Critical Requirement
• Understanding of core AWS services and basic AWS architecture best practices (S3, EBS, EC2, SQS/SNS, CloudFront, Route53, Lambda, CloudWatch, ECS Fargate, API Gateway)
• Proficiency in developing, deploying, and debugging cloud-based applications using AWS ETL native tools
• Understanding of the use of containers in the development process
• Ability to understand ETL process
• Expertise in AWS ETL tool Glue, EMR, Redshift, RDS, SNS/SQS
• Ability to design technical workflow end to end using AWS services
• Experience with working in Data Lake and data pipeline
• Python, SQL, PySpark, Spark SQL, NoSQL such as Document DB/Mongo DB
• Ability to use a CI/CD pipeline to deploy applications on AWS
• Be able and willing to mentor team members

 
Responsibilities:

• Architecting and supporting ETL and data load processes
• Designing processes that can extract/receive data from various heterogeneous source systems
• Perform data cleansing and transforming the data according to business rules
• Developing reusable frameworks for data extraction, loading and cleansing
• Designing and building change data capture processes and updating the DataMart accordingly
• Parquet / Avro to file formats - Building capabilities to exchange the data with external partners in various formats (Parquet, Avro, XML, CSV, Flat File)

 

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Thanks and Regards

Utkarsh Dwivedi| 1Point System LLC  
Direct: __________ • utk...@1pointsys.com

115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

         

An E-Verified company | An Equal Opportunity Employer 

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