Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Software Engineer II - Java Spark Developer , you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Work you’ll do/Responsibilities As a Java Spark Developer, you will be responsible for designing and building robust batch and real-time streaming data pipelines. You will work to ensure these solutions are scalable, reliable, and efficient, supporting timely data processing across the organization. In this role, you will collaborate with cross-functional teams to deliver high-quality data solutions that meet business and technical requirements. • Pipeline Development: Design, implement, and maintain scalable, fault-tolerant data pipelines using Java and the Apache Spark framework. • Data Processing: Build complex ETL / ELT workflows to extract, transform, and load massive data volumes from diverse sources. • Performance Tuning: Optimize and debug existing Spark configurations, partition strategies, and memory allocation to resolve bottlenecks. • API & Core Design: Write highly optimized, clean, and testable Java code compliant with SOLID principles and standard design patterns. • Database Integration: Write advanced SQL queries and integrate pipelines with relational databases (RDBMS), NoSQL stores, and distributed storage systems. • CI/CD & DevOps: Support deployment pipelines by using build automation tools and managing version control. • Agile Collaboration: Participate actively in Agile ceremonies (daily stand-ups, sprint planning, and code reviews). The successful candidate would possess these skills: • Ability to work independently and collaborate as part of a team • Effective written and verbal communication skills • Meticulous attention to detail and quality of work product • Ability to build and sustain professional relationships • Ability to lead projects or workstreams • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment • Strong interpersonal skills and professional demeanor • Ability to meet deadlines • Ability to provide clear guidance to others The Team AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements. Qualifications Required • 3+ years of experience in software, systems, or embedded engineering. • 3+ years of experience working Java/J2EE • 3+ years of professional software engineering experience focusing on Java/J2EE and Big Data frameworks. • 3+ years of experience in Core Languages: Deep proficiency in Java (Java 8 or higher) and solid understanding of Object-Oriented Programming (OOP) and concurrency patterns. • 3+ years of experience with Spark Ecosystems: Hands-on expertise using Apache Spark APIs (RDDs, Data Frames, Datasets, and Spark SQL). • Databases: Expert-level knowledge of SQL alongside hands-on experience with databases • Testing Frameworks: Proven track record of writing reliable unit tests using JUnit Experience with microservices, event-driven architectures, or distributed systems patterns. • Familiarity with containerization (Docker) and orchestration (Kubernetes). • Understanding of network protocols, security best practices, and scalable API design. • Experience with Git, CI/CD pipelines, and modern DevOps practices. • Experience working within Agile/Scrum development teams, participating in sprint planning, code reviews, and collaborative solutioning. • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience • Limited immigration sponsorship may be available • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred • Experience developing or deploying AI solutions, custom hardware, or high-performance platforms. • Proven ability to communicate complex technical concepts clearly and effectively. • Analytical ability to manage multiple projects and prioritize tasks into manageable work products • Can operate independently or with minimum supervision • Excellent Written and Communication Skills • Ability to deliver technical demonstrations The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $80,600 to $134,300 . You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Requirements

Must-haves

Work you’ll do/Responsibilities
Pipeline Development: Design, implement, and maintain scalable, fault-tolerant data pipelines using Java and the Apache Spark framework.
Data Processing: Build complex ETL / ELT workflows to extract, transform, and load massive data volumes from diverse sources.
Performance Tuning: Optimize and debug existing Spark configurations, partition strategies, and memory allocation to resolve bottlenecks.
API & Core Design: Write highly optimized, clean, and testable Java code compliant with SOLID principles and standard design patterns.
Database Integration: Write advanced SQL queries and integrate pipelines with relational databases (RDBMS), NoSQL stores, and distributed storage systems.
CI/CD & DevOps: Support deployment pipelines by using build automation tools and managing version control.
Agile Collaboration: Participate actively in Agile ceremonies (daily stand-ups, sprint planning, and code reviews).
The successful candidate would possess these skills:
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
3+ years of experience in software, systems, or embedded engineering.

Nice-to-haves

Experience developing or deploying AI solutions, custom hardware, or high-performance platforms.
Proven ability to communicate complex technical concepts clearly and effectively.
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Excellent Written and Communication Skills
Ability to deliver technical demonstrations

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

javaapisqlci/cdagileaidockerkubernetesscrum

Platform: avature
Effort: medium

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