Senior Software Engineer – Identity Resolution

Job not on LinkedIn

🔥 29 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Acxiom

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1968

💼 Consulting

🏥 Healthcare

🍽️ Food & Beverage

Consulting • Healthcare • Food & Beverage

Acxiom is a leading data service provider that specializes in leveraging data management, identity resolution, analytics, and martech services to help businesses enhance their marketing efforts. With a commitment to the ethical use of data, Acxiom offers solutions across various industries such as automotive, healthcare, telecommunications, financial services, and retail. Their expertise aids in optimizing marketing strategies to acquire, retain, and grow customer relationships. Acxiom partners with renowned platforms such as Adobe, Salesforce, and Snowflake to drive data-driven marketing and enable digital transformation for their clients.

📋 Description

• Design, develop, test, and maintain software supporting large-scale Identity Resolution and Entity Resolution platforms • Develop systems that match, link, consolidate, and resolve identities across multiple datasets and data sources • Implement real-time and batch identity-resolution workflows • Develop high-performance backend services and APIs using Java, Python, and Scala • Build and optimize low-latency APIs supporting real-time identity lookup and resolution • Develop large-scale distributed data-processing applications using Apache Spark • Build and maintain Spark workloads using Scala and Python • Develop complex SQL queries and data-processing logic for identity matching, analysis, and data transformation • Develop, optimize, and operate large-scale data-processing workloads with Databricks • Develop cloud-native applications and data-processing solutions using AWS • Translate solution designs and technical requirements into production-quality software with architects • Contribute to technical design discussions and recommend implementation approaches • Implement deterministic and probabilistic matching logic, fuzzy matching, data normalization, identity linking, and related capabilities • Optimize application code, Spark workloads, SQL queries, and data pipelines • Troubleshoot application, distributed-processing, data-quality, and production performance issues • Develop automated tests and validation processes for identity-matching accuracy and reliability • Build monitoring, logging, metrics, and observability into production applications and data-processing workloads • Participate in code reviews and establish software engineering practices • Mentor junior and mid-level engineers and provide technical guidance • Collaborate with architects, engineering, data, product, security, and other stakeholders • Stay current with technologies and practices related to Identity Resolution, distributed systems, cloud computing, and large-scale data processing

🎯 Requirements

• 5+ years of professional software development experience, including experience developing and supporting production software systems • Strong proficiency in Java and enterprise application development • Strong proficiency in Python for application development, data processing, automation, or distributed workloads • Strong proficiency in Scala, particularly for large-scale data-processing applications • Strong hands-on experience with Apache Spark and distributed data processing • Advanced proficiency in SQL, including complex queries, data transformations, and query optimization • Experience developing production workloads using Databricks • Experience developing cloud-based applications and services using AWS • Experience with Identity Resolution, Entity Resolution, record linkage, data matching, or similar large-scale data-processing systems • Experience developing REST APIs, backend services, microservices, or distributed applications • Experience building and optimizing high-throughput, low-latency services and APIs • Strong understanding of distributed systems concepts, including concurrency, partitioning, caching, resiliency, scalability, and fault tolerance • Experience optimizing Spark workloads, including partitioning, joins, caching, memory utilization, and execution performance • Strong understanding of software engineering principles, object-oriented design, data structures, algorithms, and design patterns • Experience with automated testing, CI/CD, source control, and modern software delivery practices • Experience with Git and collaborative software development workflows • Strong analytical, troubleshooting, and problem-solving skills • Excellent written and verbal communication skills • Ability to independently own complex development tasks while collaborating effectively with architects and other engineering team members • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent professional experience • Experience with or strong familiarity with Identity Resolution, Entity Resolution, Customer 360, Master Data Management, identity graph, record linkage, or similar matching systems

🏖️ Benefits

• Equal opportunity employment, including disability and protected veteran status • Applications for remote work may be considered for applicants in Colorado, California, Connecticut, Massachusetts, Maryland, Nevada, New Jersey, New York City, Ohio, Rhode Island, Virginia, and Washington

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