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Full-time
bachelor degree
Posted 8d ago
~40 hrs/week
Responsibilities
Lead the end-to-end development of Spark Structured Streaming pipelines in Scala to process real-time data. Coordinate with cross-functional teams to ensure scalable data solutions and maintain high code quality standards.
Requirements
Requires a minimum of 7 years of experience in Scala and distributed data processing. Candidates must possess strong proficiency in Apache Spark, Kafka, MongoDB, and AWS cloud environments.
Full job description
Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Scala Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education
Summary: We are seeking a hands-on Technical Lead to design, develop, and manage real-time data pipelines that power core banking data products. In this role, you will build and operate Apache Spark Structured Streaming applications to process CDC events from Confluent Kafka, apply complex business transformations, and store data in MongoDB Atlas, all running on Amazon EMR in AWS. You will collaborate closely with mainframe, CDC, and platform teams to deliver scalable, reliable, and high-performance data solutions while providing technical leadership and driving engineering best practices.. Roles & Responsibilities: Lead end-to-end development of Spark Structured Streaming pipelines in Scala, from ingestion to persistence Own technical decisions around data modeling, processing logic and MongoDB write strategies Coordinate with IBM CDC team, Confluent Kafka team and MongoDB/GFT teams for cross-system integrations Review and approve code contributions from team members via Bitbucket pull requests Ensure code quality through SonarQube quality gates, JaCoCo coverage and Checkstyle compliance Manage CI/CD pipelines via Jenkins for INT, PRE and PRO environment deployments on Amazon EMR Translate business requirements into technical specifications and low-level design documents Mentor junior and mid-level engineers on Spark internals, Scala best practices and streaming concepts Drive incident resolution and root cause analysis for production issues Maintain technical documentation including Technical Documents, Confluence pages and READMEs Technical Skills: Must have: Scala — strong proficiency in functional and object-oriented programming Apache Spark Structured Streaming — foreachBatch, micro-batch processing, offset management, checkpointing Kafka — consumer configuration, offset management, SASL/SSL authentication, Confluent Cloud MongoDB — bulk write operations, upsert strategies, index design, Atlas connectivity AWS — Amazon EMR, Amazon S3, CloudWatch log analysis Good to have: IBM CDC / Change Data Capture concepts Delta Lake on S3 Jenkins CI/CD pipelines SonarQube, JaCoCo, Checkstyle Bitbucket / Git branching strategies (GitFlow) Java (for mixed Scala/Java codebases) Experience: Minimum 7 years of experience in Scala and distributed data processing. Prior experience leading a team of 3+ engineers preferred.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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