drjobs Senior Data Engineer

Senior Data Engineer

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1 Vacancy
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Job Location drjobs

Hoboken, NJ - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Senior Data Engineer

data Engineer that is good with Pyspark and SQL. On prem work not cloud but GCP is a nice to have

Hybrid twice a week in Hoboken NJ

Needs:

12 IT Experience
Pyspark
Python
SQL
GCP Nice to have
Good CLients

Any work authorization
6 month contract
You can subvend

Job Description:

About Team:
Everyone has data but the sheer volume of data at Walmart can be limitless. In the Data Engineering team we help Walmart manage this data by building pipelines and data lakes to prepare big data for analysis and unlocking actionable insights in realtime. We also use crossdepartmental data and machine learning to build a holistic view of true profitability saving millions of dollars across item categories and geographies while assisting our leadership in making better decisions faster.

What youll do:

Collaborate with crossfunctional teams to understand data requirements and design data solutions that meet business needs

Develop and maintain data pipelines and ETL processes using Spark and Scala

Design build and optimize data models and data architecture for efficient data processing and storage

Implement data integration and data transformation workflows to ensure data quality and consistency

Monitor and troubleshoot data pipelines to ensure data availability and reliability

Conduct performance tuning and optimization of data processing systems for improved efficiency and scalability

Work closely with data scientists and analysts to provide them with the necessary data sets and tools for analysis and reporting

Stay uptodate with the latest industry trends and technologies in data engineering and apply them to enhance the data infrastructure

What youll bring:

Proven working experience as a Data Engineer with a minimum of 3 years in the field.

Strong programming skills in Scala and experience with Spark for data processing and analytics

Familiarity with Google Cloud Platform (GCP) services such as BigQuery GCS Dataproc Pub/Sub etc.

Experience with data modeling data integration and ETL processes

Strong knowledge of SQL and database systems

Understanding of data warehousing concepts and best practices

Proficiency in working with largescale data sets and distributed computing frameworks

Strong problemsolving and analytical skills

Excellent communication and teamwork abilities

Pyspark,SQL,Python,Spark

Employment Type

Full Time

Company Industry

About Company

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