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AWS Data Engineer AWS Data Engineer Loc:Mountain view, California only Locals at California, Maryland, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=1557981&uid=

From:

bhumika,

Adifice Technologies

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Position: AWS Data Engineer

Locations: 

Mountain view, California (Hybrid)

Type: 
12+ Months

Visa: USC/GC/GC EAD/H4

IP client : Persistent

End Client : Confidential

Job Description:

Must Have : AWS Lambda , S3 , IAM , Spark , Big query , Python or Java , SQL, Databricks or Privacera

Secondary skills:  Terraform , GCP , Hive, Glue, and Unity Catalogs

Qualifications

            8+ years experience designing and developing web, software, or mobile applications.

            3+ years experience building and operating cloud infrastructure solutions.

            BS/MS in computer science or equivalent work experience.

            Expertise with any of the following Object-Oriented Languages (OOD): Java/J2EE, C#, VB.NET, Python, or sometimes C++. Java and Python preferred.

            Expertise with AWS (IAM, VPC), Spark, and Terraform are preferred. Expertise with Databricks is a strong bonus.

            Expertise with the entire Software Development Life Cycle (SDLC), including: system design, code review, unit/integration/performance testing, build and deploy automation

            Operational excellence: minimizes costs and maximizes uptime

            Excellent communication skills: demonstrated ability to explain complex technical topics in an engaging way to both technical and non-technical audiences, both written and verbally

Scope of Work

The team will be working in one of the following areas:

o            multi-cloud data exploration

            Terraform infrastructure-as-code for managing AWS infrastructure and deep integration between enterprise tools (Starburst, Privacera, and Databricks) and Intuit services (LDAP, data decryption)

            Testing user flows for data analysis, processing, and visualization with Python Spark notebooks and SQL running on distributed compute to join data between AWS S3 and GCP BigQuery

            Developing data pipelines in Python Spark or SQL to push structured enterprise tool telemetry to our data lake

o            Fine-grained access control for data exploration

            Terraform infrastructure-as-code for managing AWS infrastructure and deep integration between enterprise tools (Databricks and Privacera)

            Evaluating Databricks capabilities to sync Hive, Glue, and Unity Catalogs

            Evaluating Privacera capabilities or building new capabilities (AWS Lambda with Python) to sync Intuit access policies with Unity Catalog

            Testing user flows for data analysis, processing, and visualization with Python Spark notebooks on distributed compute or Databricks serverless SQL runtime

Responsibilities

            Develop and implement operational capabilities, tools, and processes that enable highly available, scalable, and reliable customer experiences

            Resolve defects/bugs during QA testing, pre-production, production, and post-release patches

            Work cross-functionally with various Intuit teams including: product management, analysts, data scientists, and data infrastructure

            Work with external enterprise support engineers from Databricks, Starburst, and Privacera to resolve integration questions and issues

            Experience with Agile Development, SCRUM, or Extreme Programming methodologies

Keywords: cplusplus csharp quality analyst sthree green card microsoft
AWS Data Engineer AWS Data Engineer Loc:Mountain view, California only Locals
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=1557981&uid=
[email protected]
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10:54 PM 12-Jul-24


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