{"id":494718,"url":"https://alion.io/job/verifone-data-platform-engineer","title":"Data Platform Engineer","company":{"id":445895,"name":"Verifone","domain":"verifone.com","url":"https://alion.io/company/verifone-3","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_cell","sample_n":77},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Ansible","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Apache Pulsar","optional":false},{"name":"AWS","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Apache HTTP Server","optional":true},{"name":"Apache Hudi","optional":true},{"name":"dbt","optional":true},{"name":"Flink","optional":true},{"name":"Helm","optional":true},{"name":"KVM","optional":true},{"name":"PCI DSS","optional":true},{"name":"Vault","optional":true},{"name":"VMWare","optional":true}],"status":"live","first_seen_at":"2026-07-29T19:15:27Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-24T19:10:10Z","board_verified":true,"closed_at":null,"days_open":87,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":87},"description":"Why Verifone\nFor more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.\nVerifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.\nAcross the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.\nVerifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.\nWhat’s Exciting About the Role\nVerifone is looking for a Data Platform Engineer to join our Platform Engineering team. Rather than being a single-technology specialist position, this is a unique opportunity to your generalist skillset to own and evolve a broad data platform that spans streaming pipelines, multiple database technologies, on prem and cloud infrastructure, and DevOps/SRE operational tooling. \nWe are looking for experience in core technologies including Kafka, Redis, Data Lake technologies and Cloud Engineering, with the opportunity to leverage other skills such as PostgreSQL, MySQL, MongoDB, SQL Server and more. You will design and operate end-to-end data pipelines that power new AI and analytics initiatives, migrate streaming services to Kubernetes, and build the automation and tooling that reduces operational toil across the team. \nIf you are energized by working across the full data stack-pipelines, databases, infrastructure, observability, and CI/CD-rather than going deep on a single technology, this role is built for you. \nKey Responsibilities\nData Platform & Pipeline Development \nDesign, build, and optimize end-to-end data pipelines-streaming and batch-that serve Verifone’s AI, machine learning, and analytics initiatives. \nWork with diverse data technologies and formats: streaming via Kafka, batch via ETL processes, file formats such as Parquet, and table formats such as Iceberg or Delta Lake. \nCollaborate with data engineering and development teams to enforce best practices for data flow, schema design, security, scalability, and performance. \nContinuously improve data pipeline reliability, latency, and throughput across the full SDLC. \nSupport and integrate AWS data tooling including Athena, Glue, Redshift, and S3-based data lake patterns. \nStreaming Infrastructure (Kafka & Ecosystem) \nManage and support Apache Kafka clusters (including AWS MSK), Kafka Connect, and KSQL for high-throughput, fault-tolerant event streaming. \nHandle day-to-day Kafka operations: offset management, lag monitoring, consumer group management, cluster rebalancing, and partition tuning. \nPerform cluster maintenance: upgrades, configuration changes, scaling events, and health checks. \nDrive incident response and root cause analysis (RCA) for streaming platform issues. \nParticipate in the active effort to migrate Kafka and related services to Kubernetes. \nDatabase Operations \nOperate and support multiple database technologies in production: Redis, PostgreSQL and MySQL (indexing, replication, HA/DR, query tuning), and MongoDB. \nPerform routine maintenance across database platforms: upgrades, configuration tuning, health monitoring, and capacity planning. \nSupport Snowflake data warehouse operations and integrations as part of the broader analytics stack. \nImplement and uphold data security practices including encryption-in-transit/at-rest, secrets management, and least-privilege access across all data stores. \nDevOps, SRE & Automation \nDevelop and maintain automation scripts (Python, Bash) to reduce manual toil and improve platform reliability. \nDesign, implement, and manage CI/CD pipelines for patching, deployment, and configuration automation. \nBuild and maintain Infrastructure as Code (IaC) using Terraform, Ansible, or similar tools. \nContainerize and orchestrate workloads using Docker and Kubernetes. \nManage cloud infrastructure on AWS: EC2, VPC, IAM, MSK, ElastiCache, CloudWatch, and related services. \nSet up and maintain observability tooling-metrics, logs, and tracing-and participate in on-call incident response. \nSupport cloud migration tasks, moving workloads between on-prem and cloud environments. \nRequired Qualifications / Skills\nWe are looking for a well-rounded platform engineer with experience in Kafka, Redis, Data Lake technologies and Cloud Engineering. Candidates should demonstrate breadth across data, databases, DevOps and SRE skills: \n5+ years of overall engineering experience, with demonstrated work across data pipelines, database operations, and infrastructure-not limited to a single technology. \nHands-on experience with Kafka or another distributed streaming platform (Kafka, Kinesis, Pulsar) in a production environment. \nOperational experience with at least two of the following database technologies: Redis, PostgreSQL, MySQL, MongoDB, Redshift or Snowflake. \nProven data pipeline experience: building or maintaining ETL/ELT processes, batch jobs, or streaming pipelines that serve analytics or operational use cases. \nStrong scripting and automation skills (Python and/or Bash) with a track record of reducing manual toil. \nCI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred). \nSolid Linux fundamentals: networking basics, log analysis, system troubleshooting, process/memory/disk management. \nCloud engineering experience, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch). \nFamiliarity with observability practices-metrics, logs, tracing-and incident response workflows. \nUnderstanding of distributed systems trade-offs: availability, consistency, partitions, backpressure. \nStrong communication skills including the ability to present platform status and technical decisions to non-technical stakeholders. \nFlexibility for on-call rotation and occasional weekend support. \nPreferred Skills (Highly Desired)\nData Engineering Depth \nExperience with stream processing frameworks: Kafka Streams, Apache Flink, or similar. \nFamiliarity with data lake table formats: Apache Iceberg, Delta Lake, or Apache Hudi. \nHands-on experience with AWS data services: Athena, Glue, Redshift, or Lake Formation. \nWorking knowledge of Snowflake-data loading, query optimization, or integration patterns. \nUnderstanding of data quality, data lineage, or schema registry concepts. \nInfrastructure & Security \nContainer/Kubernetes depth: deployments, StatefulSets, storage classes, Helm. \nOn-prem infrastructure experience: VMware/KVM, SAN/NAS storage, network configuration. \nSecurity and compliance experience, particularly PCI-DSS (Payment Card Industry Data Security Standard). \nSecrets management tooling: HashiCorp Vault, AWS Secrets Manager, or similar. \nWhat We Offer\nBroad platform ownership-you will work across Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more, growing as a well-rounded platform engineer rather than a single-tool specialist. \nDirect impact on Verifone’s global payment infrastructure-your work keeps billions of transactions flowing reliably every year. \nGround-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy. \nHands-on participation in a Kafka-to-Kubernetes migration-a meaningful infrastructure modernization project from day one. \nMentorship from senior engineers and platform architects with deep production experience. \nClear career progression path from mid-level to senior and lead engineer. \nFunded certification paths-Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA, dbt-plus budget for courses and technical conferences. \nHybrid/remote working flexibility with a collaborative team culture. \nCompetitive compensation with performance-based incentives. \nOur Commitment\nVerifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.","description_format":"text","description_chars":9027,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Manufacturing","Natural Language Processing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-09-07T03:20:35Z"}],"visa":[],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.875,"p_room":0.44,"age_days":86,"expected_fill_days":60,"reasons":["conf:2","velocity","win:tail","crowd:"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/verifone-data-platform-engineer","json_url":"https://alion.io/job/verifone-data-platform-engineer.json","meta":{"generated_at":"2026-10-24T21:01:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":30754,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":445895},"rest":"https://alion.io/mcp/rest/get_company?id=445895"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fverifone-data-platform-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fverifone-data-platform-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fverifone-data-platform-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/verifone-data-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fverifone-data-platform-engineer"}]}