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Regular/Senior Data Engineer

Ohio, United States (Remote)

Regular/Senior Data Engineer

1 Month ago • 5 Years + • Data Analyst

About the job

6 skills required for this role

Add these skills to join the top 1% applicants for this job

spark

azure

data-visualization

python

sql

power-bi

Job Description

This role involves transforming a large manufacturer's operations with digital solutions. You'll build a Digital Manufacturing Data Warehouse for 100+ global factories, ensuring seamless integration with existing systems. Responsibilities include designing and implementing databases, data models, and pipelines; optimizing data extraction, transformation, and loading (ETL) processes; and building analytics solutions for valuable insights. You'll work in an agile team with specific goals and deliverables. The position requires expertise in data modeling, analysis, wrangling, and big data concepts, along with hands-on experience with Snowflake and SQL.

Must have:

5+ years Data Engineering experience
Data modeling & analysis expertise
ETL/ELT, BI, DWH, Data Lake knowledge
Snowflake and SQL proficiency
Strong analytical skills

Good to have:

Databricks
Microsoft Fabric
Synapse Analytics
SQL Server
Power BI
Python
Manufacturing experience

Project description

You will be part of the Team tasked to transform and equip a large Manufacturer with digital solutions, skills and knowledge to strengthen World Class Manufacturing for competitive advantage. You will be responsible for making sure the standard solutions and services deployed integrate with the existing landscape in a proper and documented way.
You will be developing Digital Manufacturing Data Warehouse product for 100+ factories across the globe.
Data Engineering, Data Visualization, Data Warehousing, Microsoft SQL Server, Azure Data Lake Storage, Azure SQL Database, Azure Databricks/Spark, Azure IoT Hub, Snowflake, Power BI, Time Series Databases.

Responsibilities

Analyze, design, and implement databases, semantic data models, and data pipelines.

Build the code and logic required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL or other programming languages.

Build analytics solutions that provide valuable insights for clients and end users.

Work in an agile project team that has specific goals and deliverables.

Skills

Must have

5+ years of relevant working experience as a Data Engineer or in a similar role

Technical expertise in data modeling and analysis, data wrangling and preprocessing

Understanding of Big Data, ETL/ELT, BI, DWH, Data Lake/Data Lakehouse concepts

Hands-on experience with Snowflake and SQL

is a MUST

Great numerical and analytical skills

Degree in Computer Science, IT, or similar fields

Nice to have

Databricks, Microsoft Fabric, Synapse Analytics, SQL Server, Power BI, Python, Manufacturing

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

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About The Company

Luxoft

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Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 21 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications.

DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.