Must have

• Data pipelines

• Python

• SQL

• Neo4j

• TigerGraph

• C

• GraphDB

• English

Requirements description

IF YOU ARE

• An experienced Data Engineer with 5+ years of hands-on practice in designing and building scalable data pipelines
• Proficient in working with Graph Databases and understanding graph structures, relationships, and performance considerations
• Skilled in Python and SQL for data transformation, integration, and logic building
• Familiar with Databricks and PySpark for distributed data processing
• Comfortable with web scraping and working with diverse data sources
• Effective in communicating in English at an upper-intermediate level or higher, and confident working across cross-functional teams
• Experienced or familiar with Neo4j or TigerGraph, especially in the context of supply chain or complex relationship modeling (a strong plus)

Offer description

WE ARE

SoftServe is a global digital solutions company headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients across North America, EMEA, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.

Big Data & Analytics is the data consulting and engineering arm of our Center of Excellence. Hundreds of data engineers and architects build end-to-end data & analytics solutions: from strategy and architecture through technical design, proof of concept, and full-scale implementation. We work with clients across healthcare, finance, manufacturing, retail, and energy industries.

We hold top-level partnerships with major cloud providers and collaborate with technology leaders such as AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others.

TOGETHER WE WILL

• Address different business and technology challenges, engage in impactful projects, use top-notch technologies, and drive multiple initiatives as a part of the Center of Excellence
• Support your technical and personal growth, as we have a dedicated career plan for all roles in our company
• Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe Data Community
• Upskill with full access to Udemy learning courses
• Pass professional certifications, encouraged and covered by the company
• Adopt best practices from experts while working in a team of top-notch Engineers and Architects
• Collaborate with world-leading companies and attend professional events

Your responsibilities

1. Be focused on modeling, including defining nodes, edges, and their properties
2. Determine whether to create one giant graph or multiple graphs from different data sources
3. Automate and scale the existing name normalization proof of concept
4. Build and support infrastructure around the solution
5. Create a data store for reference and integrate it with external systems for validated names
6. Work on enriching metadata and ensuring sufficient process performance

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