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Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories.<br><strong>Role Title:&nbsp;</strong>Software Engineer&nbsp;</p><p><strong>Experience Range:</strong> 2+ years</p><p><strong>Work location:</strong> Hyderabad, India.</p><p><strong>Work mode:</strong> Hybrid</p><p><strong>Position Summary:</strong></p><p>We are hiring a <strong>Senior Data Platform Engineer</strong>&nbsp;to join our Data Ingestion&nbsp;team — the engineering group responsible for moving, transforming, and delivering business-critical data across a large-scale enterprise. Our platform ingests change-data-capture streams from legacy and modern systems, enriches and reshapes them in real time, and publishes them to downstream systems and analytics platforms at millions of events per hour.</p><p>We are looking for an engineer who is equally comfortable writing reactive Java services, tuning CDC pipelines, operating Kafka topics, and wiring Python-based orchestration — someone who treats data pipelines as first-class production systems and owns them end-to-end. The ideal candidate is product-focused, deeply passionate about solving complex data-movement problems at scale and can communicate effectively with both engineers and business stakeholders.</p><p><strong>Skills Required:</strong></p><ul><li><strong>Languages &amp; Core Stack</strong>&nbsp;Java 21, Spring Boot 3.x, Spring WebFlux (reactive), Project Reactor, R2DBC, Python 3.x</li><li><strong>Data Movement &amp; Streaming</strong>&nbsp;Apache Kafka, Confluent Platform, Avro / Schema Registry, CDC tools (e.g., Qlik Replicate, Oracle GoldenGate, Debezium, AWS DMS), Kafka Connect</li><li><strong>Databases</strong>&nbsp;IBM DB2 (z/OS and LUW), Aurora PostgreSQL, SQL tuning, query plan analysis, NoSQL exposure (DynamoDB, MongoDB, or Redis)</li><li><strong>Orchestration &amp; Pipelines</strong>&nbsp;Apache Airflow (DAG authoring, operators, sensors), workflow scheduling, data quality checks</li><li><strong>Cloud &amp; Infrastructure</strong>&nbsp;AWS (EC2, S3, MSK, Aurora, IAM, Secrets Manager, CloudWatch), Docker, Kubernetes, Ansible, Terraform (plus)</li><li><strong>CI/CD &amp; Quality</strong>&nbsp;Jenkins, GitHub Actions, Maven, SonarQube, JUnit 5, Mockito, Reactor Test, integration testing patterns</li><li><strong>Observability</strong>&nbsp;Dynatrace, Grafana, Splunk, distributed tracing, structured logging, metrics</li><li><strong>Security &amp; Governance</strong>&nbsp;OAuth2, JWT, OWASP secure coding, secrets management, data privacy awareness (PII handling)</li><li><strong>Collaboration</strong>&nbsp;Git / Bitbucket, Agile / Scrum, Jira, Confluence, Swagger / OpenAPI</li></ul><p><strong>Job Responsibilities:</strong></p><p><strong>Technical Contributions &amp; Collaboration:</strong></p><ul><li>Take end-to-end ownership of data ingestion pipelines — from source-system CDC all the way through enrichment, publishing, and downstream consumption.</li><li>Design and build reactive microservices (Spring WebFlux + R2DBC) that consume Kafka streams, enrich events against DB2 and PostgreSQL, and publish enriched records to downstream topics and data stores.</li><li>Configure and operate CDC tooling (Qlik Replicate and similar) — including source/target endpoint setup, task definitions, transformation expressions, and lookup-based enrichment patterns.</li><li>Participate in code and design reviews; provide constructive feedback that raises the quality bar across the team.</li><li>Mentor junior engineers on reactive programming concepts, streaming patterns, and data-pipeline best practices.</li><li>Collaborate closely with QA, DevOps, Data Engineering, and business analyst teams; communicate technical decisions clearly to both technical and non-technical stakeholders.</li></ul><p><strong>Delivering Technology:</strong></p><ul><li>Analyze complex data-flow requirements and translate them into pipeline designs that balance latency, throughput, cost, and operational simplicity.</li><li>Validate requirements are complete and unambiguous before solutioning; push back when they aren't.</li><li>Build and maintain Airflow DAGs and Python utilities that orchestrate batch workflows, reconciliation jobs, and data-quality checks.</li><li>Ensure pipelines are resilient to source outages, schema evolution, poison messages, and replay scenarios.</li><li>Participate in production support rotations, triage incidents across the Java services / Kafka / DB2 / PostgreSQL stack, and drive root-cause analysis.</li><li>Coordinate with Operations and Infrastructure teams for deployments, scaling events, and production support.</li><li>Proactively flag risks, blockers, and tech debt to leads and stakeholders.</li></ul><p><strong>IT Governance:</strong></p><ul><li>Follow defined IT standards, architectural guidelines, and change-management processes.</li><li>Maintain a healthy balance between shipping speed and operational risk — especially around data correctness, replay safety, and backward compatibility of events.</li><li>Adhere to secure coding practices, including proper handling of PII and credentials in pipelines, logs, and error tables.</li><li>Follow project management standards and keep work visible through Jira / sprint cadences.</li></ul><p><strong>Skill and Experience:</strong></p><ul><li><strong>2+ years</strong>&nbsp;of hands-on software engineering experience with a strong focus on <strong>data-movement / streaming / integration</strong>&nbsp;systems (not just CRUD application development).</li><li><strong>2+ years</strong>&nbsp;of hands-on Java / Spring Boot development, including meaningful experience with <strong>reactive programming</strong>&nbsp;(Spring WebFlux, Project Reactor, R2DBC).</li><li>Proven experience designing and operating <strong>Kafka-based pipelines</strong>&nbsp;— topic design, consumer group tuning, partition strategy, exactly-once / at-least-once trade-offs, schema evolution with Avro + Schema Registry.</li><li>Exposure with a <strong>CDC tool</strong>&nbsp;such as Qlik Replicate, AWS DMS — including source/target endpoint configuration, transformation expressions, and troubleshooting latency or replay issues.</li><li>Strong <strong>SQL proficiency,</strong> able to read query plans, optimize joins, and design indexes deliberately.</li><li><strong>Python</strong>&nbsp;experience sufficient to author and maintain <strong>Airflow DAGs</strong>, operators, and data-quality / reconciliation utilities.</li><li>Experience with <strong>AWS</strong>&nbsp;core services (at minimum EC2, S3, IAM, MSK or self-managed Kafka, Aurora, CloudWatch, Secrets Manager).</li><li>Experience with <strong>CI/CD</strong>&nbsp;(Jenkins or GitHub Actions), containerization (Docker), and orchestration (Kubernetes or ECS).</li><li>Proficiency with <strong>unit and integration testing</strong>&nbsp;— JUnit 5, Mockito, Reactor Test; familiarity with test containers or embedded broker patterns is a plus.</li><li>Exposure to <strong>observability tooling</strong>&nbsp;— Dynatrace, Grafana, Splunk — and the discipline to add meaningful logs, metrics, and traces to new services.</li><li>Comfort with <strong>Git / Bitbucket</strong>, <strong>Swagger / OpenAPI</strong>, and <strong>SonarQube</strong>&nbsp;quality gates.</li><li>Ability to write clear technical documentation — design docs, runbooks, pipeline specs — that a teammate can read a year from now and still act on.</li><li>Experience working in an <strong>Agile</strong>&nbsp;environment with an onshore / offshore model.</li><li>Strong troubleshooting and defect-triage skills that span across Java code, SQL, Kafka, and infrastructure layers.</li></ul><p><strong>Nice to Have:</strong></p><ul><li>Experience with <strong>Snowflake</strong>, <strong>Databricks</strong>, or another cloud data warehouse as a CDC target.</li><li>Familiarity with <strong>KEDA</strong>&nbsp;or event-driven autoscaling for Kafka consumers.</li><li>Experience with <strong>Avro schema evolution</strong>&nbsp;and backward/forward compatibility strategy.</li><li>Exposure to <strong>mainframe-adjacent</strong>&nbsp;concepts — DB2 for i triggers, journals, logstreams — or a willingness to learn them.</li><li>Prior work on <strong>Loyalty</strong>, <strong>Reservations</strong>, or similarly high-cardinality customer-data domains.</li></ul><p><strong>Education and Certifications:</strong></p><ul><li>Undergraduate degree in Computer Science, Engineering, or equivalent practical experience.</li><li>AWS certifications (Developer Associate, Solutions Architect Associate, or Data Engineer) are a plus but not required.</li></ul>","employment_type":"Full-Time","industry":"","job_template":false,"country":{"name":"India","country_code":"IN","region":"Asia"},"is_job_displayable":true,"job_url":"https://talent500.com/jobs/marriott-tech-accelerator/software-engineer-hyderabad-T500-26120","created_at":"2026-05-21T17:47:49.439338+05:30","updated_at":"2026-06-12T03:14:46.534036+05:30","title_alias_1":"Software Engineer","slug":"software-engineer-hyderabad-T500-26120","summary":null,"typical_workday":null,"what_you_offer":null,"what_you_need_to_succeed":null,"responsibilities":null,"type":null,"min_experience_years":2,"max_experience_years":4,"ctc_unit":"LPA","is_featured_job":false,"is_active":true,"job_code":"T500-26120","external_id":38000,"external_job_code":"MTAAS04","is_anonymized":false,"mercurial_skills":null,"open_date":"2026-06-09T12:50:36.878638+05:30","published_at":"2026-05-21T17:47:48.666429+05:30","anonymization_needed":null,"anonymized_description":null,"xml_feed_anonymization":null,"unregistered_user_anonymization":null,"registered_user_anonymization":null,"pre_application_email_anonymization":null,"mettl_account":null,"job_table_sub_head":null,"job_table_short_desc":null,"is_remote":null,"job_video":null,"job_video_title":null,"job_video_description":null,"job_image_url":"https://wattt.s3.ap-south-1.amazonaws.com/PRODUCTION/T500-26120.png","role_summary":null,"syndication_control":true,"syndication_status":"in_progress","syndication_job_title_alias":"[]","sourcing_requirements_updated_at":null,"t500_sourcing_control":true,"status":"open","job_redirection_url":null,"is_external_job":false,"is_leadership_job":false,"leadership_confidentiality_level":null,"pricing_type":null,"recruiter":"1154daea-f24c-4f7f-aad6-494543ee6112","category":30,"job_sub_category":14,"role":null,"job_function":798,"job_sub_function":1381,"naukri_industry":null,"naukri_functional_area":null,"naukri_role":null,"role_category":309,"linkedin_industry":null,"syndication_partners":["155c6cf4-8e99-4b9d-a962-30efd35c2aeb","56f3dcdd-b898-4806-ae12-c2578268f37c","5dc79af2-bfa4-4186-b589-219f71a4d5cf","9997eeaf-0206-4bb3-a458-e3823ad26e2f","a8bf9ce8-9d0e-401f-bb42-a409477787a6","aa8de7a4-71c0-4241-8523-33f47d7da6c6","dd8c2a4a-08ef-4849-8fd0-c5017b662841","f2b2a145-60a0-4c8e-86a2-dd03b3ee374a"],"candidate_job_status":null,"candidate_job_id":null,"mettl_assessment_to_be_taken":false,"company_font_data":{"font-family":"ARIAL","url":"https://talent500-public-prod-cb.s3.ap-south-1.amazonaws.com/talent500-fonts/fonts/ARIAL.TTF"}}