Job title : Google BigQuery & PySpark Data Engineer ( 20 Positions)

Dallas, TX Dallas TX 75201

Date : Sep-03-24

Job title : Google BigQuery & PySpark Data Engineer ( 20 Positions)

Dallas, TX

Sep-03-24

Work Authorization

US Citizen
GC
H1B
GC EAD

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Midlevel

Rate/Salary ($)

:

Market

Duration

:

3 Months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Consulting / Contract

Required Skills :

Cloud Computing, Data Engineer, Kubernetes, Python, SQL, ACCESS, Continuous deployment, Data Integration, Migration, Risk Management

Preferred Skills :

Domain :

IT/Software

Work Authorization

US Citizen
GC
GC EAD
H1B

Preferred Employment

Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire

Job Details

Experience

:

Midlevel

Rate/Salary ($)

:

Market

Duration

:

3 Months

Sp. Area

:

Data Warehousing/ETL

Sp. Skills

:

Data Engineer

Consulting / Contract

Required Skills :

Cloud Computing, Data Engineer, Kubernetes, Python, SQL, ACCESS, Continuous deployment, Data Integration, Migration, Risk Management

Preferred Skills :

Domain : IT/Software

Apply Now

Teknismart
Plano, TX
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Job Description :

Hi This is Arjun from Teknismart Solutions Inc. Reaching out to you regarding a job opportunity with one of our clients. Please find the open requirements and share the resumes accordingly. Job title : Google BigQuery & PySpark Data Engineer ( 20 Positions)Location: Dallas, TX ( Onsite) Experience: 6 to 10 yrs Required Skills:Technical Skills: Python, PySpark, Databricks Workflows, Databricks SQL Domain Skills: Payer Nice to have skills:Technical Skills: Cloud Composer, Cloud Storage, Google Kubernetes Engine (GKE), Risk Management, Structured Streaming, Delta Live Pipelines, Databricks CLI, Data Fusion, Databricks Unity Catalog Admin, Databricks Workspace Adein 6. Technology: Cloud Data Integration Migration Roles & Responsibilities:Build and maintain data & ingest pipelines from various technology sources across variety of scheduling needs.Design and implement data models for efficient consumption and storageUtilize data analysis tools and techniques (SQL, Python, data visualization libraries)Clean, prepare and transform data for analysis.Conduct statistical analysis and modeling, and monitors Production for efficiencies.Communicate insights and production trends to stakeholders.Ensure data quality, integrity and production reliability and report out on status.Works closely with infrastructure to manage, configure Kubernetes clusters, setting up CI/CD pipelines, and ensuring infrastructure scalability and performance. Design, Build, Test and deploy data access logic, and solution implementation.

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