Data Engineer Jobs in Deerfield IL || Contract || Urgent Required of 100 Jobs, Quick Overview

Position: Data Engineer 

Location: Deerfield, IL

Data Engineer Jobs in Deerfield IL

Experience: 12+ Years 

Skill 1 – Data Engineer
Skill 2 – Data Services exp 
Skill 3 – ETL Pipeline 
Skill 4 – Hands on Data factory 

Data Engineer Company Client  is a leading provider of platforms, digital innovation, artificial Intelligence and end-to-end IT & Business services and solutions for Global 1000 companies. We are transforming corporations through deep domain expertise, knowledge-based ML platforms, as well as profound anthropological efforts to understand the end customer and design products and interactions that create delight. We are deeply committed to developing a comprehensive understanding of our clients’ problems and to develop platforms to address them.

Description:

UST is looking for Data Engineers: Azure Cloud Experience. Data pipeline development, ETL experience, Azure data factory, Azure streams analytics, Azure Blob Storage, Azure data Lake, Batch & real-time data ingestion design and implementation experience, Hadoop, Hive, Cloudera Data Platform Experience, Kafka experience. Agile project experience Responsibilities: As a Data Engineer you:

• Should be able to work with other professionals to ensure successful implementation of proposed designs and completion of projects.

• Should be responsible for the development, and integration of computer programs.

• Should understand the business needs and works strictly in compliance with the needs of the client.

Requirements:

• 3-5 years’ experience developing data centric applications in Azure

• 3-5 years ETL/ELT development with Azure data tools including Azure Data Factory and Databricks.

• 3-5 years’ experience creating data transformation and validation logic within Azure Data Factory using Mapping and Wrangling activities.

• Advance knowledge of any programming language (Python/PySpark)

• Advanced knowledge of data formats (JSON, XML, Parquet, etc.) and data modeling practices.

• Strong knowledge of debugging and performing tuning Azure Data Factory pipelines and runtime environments.

• Deep understanding of Azure data storage technologies such as Azure Blob Storage, Azure Data Lake Gen2, Synapse, Azure SQL and the frameworks applied to each.

• Data modelling experience shaping and transforming data into third normal form and dimensional models.

• Advanced understanding of best practices for structuring and organizing Data Lake file systems for large volumes of data.

• Knowledge of big-data ecosystems such as Hadoop, Hive, Sqoop, Cloudera Data Platform

 Location This position is based in Deerfield, Illinois.

Regards,

Vincily T | Recruitment Executive

Phone: +1 7323346236

vincily.t@diamondpick.com

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