{"id":827560,"url":"https://alion.io/job/nttdatausa-senior-integrations-engineer","title":"Senior Integrations Engineer","company":{"id":678725,"name":"NTT DATA USA","domain":"nttdatausa.com","url":"https://alion.io/company/nttdatausa","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":{"label":"EST","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC"],"hiring_countries_total":48,"salary":{"min":22,"max":45,"currency":"USD","period":"hour","gross":null,"usd_annual":90000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Informatica","optional":false},{"name":"SQL","optional":false},{"name":"Bitbucket","optional":true},{"name":"CI/CD","optional":true},{"name":"CloudFormation","optional":true},{"name":"DynamoDB","optional":true},{"name":"GitHub","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Jenkins","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-07-01T12:37:06Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-10-31T13:16:47Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":121},"description":"Job Title: Senior Integrations Engineer\nLocation Preference: 100% remote in LATAM with preference in Chile working EST Time Zone \nDuration: 1-Year Assignment with possibility of extension \nFreelance Rate Range: $22-45/hr USD based on relevant experience\nNTT DATA is a team of more than 139,000 diverse professionals operating in more than 50 countries worldwide. Our sectors of activity include telecommunications, finance, industry, utilities, energy, public administration, and health.\nOur mission? Offer technological solutions, business, strategy, development, and application maintenance while being a benchmark in consulting. Thanks to the collaboration between teams, the human quality of our people, and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.\nOur essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to each client's needs. Our talent has led us to be one of the top six technology companies in the world.\nBecause #Greattech, needs #GreatPeople, like you\nNTT Data seeks high-achieving team players who quickly adapt to new challenges and entrepreneurial ventures. We are looking for a Senior Integrations Engineer to work with our global client for a fully remote opportunity in LATAM working EST hours.\nPosition Summary\nData integration engineer specialized in designing, developing, and operating enterprise data pipelines on ETL tools; Informatica IDMC (Intelligent Data Management Cloud / IICS) as the primary platform, with strong capabilities in feeding the Databricks Lakehouse. Able to work across cloud-agnostic environments (Azure, AWS, GCP) and to apply AI-assisted development with CLAIRE GPT and CLAIRE Copilot to accelerate the build cycle and reduce time-to-delivery.\nKey Responsibilities\nDesign and implement ingestion, transformation, and distribution pipelines with CDI and Cloud Mass Ingestion.\nBuild and optimize ingestion and ELT into the Databricks Lakehouse using IDMC for Databricks and Delta Lake patterns.\nMigrate PowerCenter workloads to IDMC using structured methodology and internal accelerators.\nOperate and maintain integration infrastructure (Secure Agents, runtimes) on Azure and AWS under SLA standards.\nApply CLAIRE GPT/Copilot to optimize the mapping development cycle and reduce delivery time.\nRequirements\nTechnical Skills:\nInformatica IDMC · Integration Core\n Cloud Data Integration (CDI): Mapping Designer, SQL ELT with pushdown optimization (full/source/target), Taskflows, mapping partitioning, Dynamic Mappings, parameterization, file listeners, intelligent structure models (CLAIRE-powered), and performance tuning.\n Cloud Mass Ingestion (CMI): batch and near-real-time ingestion from heterogeneous sources across its variants: Mass Ingestion Databases (CDC), Files, Applications, and Streaming.\n Cloud Application Integration (CAI): Process Designer, service connectors, guides, and business processes; API and microservices integration.\nPowerCenter to IDMC: migration and modernization of on-premises pipelines using structured methodology, CDI-PC, and migration accelerators.\n Platform operations: administration of Secure Agents and runtime environments (Secure Agent Groups), monitoring, and SLA management.\nDatabricks Integration\n IDMC for Databricks: ingestion and ELT into the Databricks Lakehouse with CDI and Cloud Mass Ingestion, Delta Lake load patterns, and SQL ELT pushdown to Databricks SQL.\nConnectivity through the Databricks connector (Partner Connect), Unity Catalog awareness, and parameterized job orchestration.\nAI-Assisted Development (CLAIRE)\n CLAIRE GPT / CLAIRE Copilot: assisted generation of mappings, debugging of transformations, and automatic pipeline documentation through natural language within IDMC.\nAwareness of the new agentic capabilities (CLAIRE Agents, Fall 2025 release) for headless ingestion and transformation flows.\nPlatform FinOps\nUnderstanding of the IPU (Informatica Processing Units) consumption model and per-service cost optimization.\nCloud-Agnostic (Complementary)\n Azure: Azure Data Factory (ADF), Data Lake Storage Gen2, Key Vault, Azure Databricks.\nAWS: Glue, S3, Step Functions, Redshift, Athena, EventBridge.\n GCP (desirable): BigQuery, Cloud Composer.\nIaC & CI/CD for pipelines: Terraform, CloudFormation; GitHub/Bitbucket, Jenkins.\nDatabases & Platforms\nAdvanced SQL (Oracle, SQL Server, PostgreSQL, Redshift, Databricks SQL).\nNoSQL (MongoDB, DynamoDB; desirable).\nData Warehouse, Data Lake, and Lakehouse architecture patterns.\n\nCertifications:\n Informatica Cloud Data Integration Developer, Professional Certification (ICP) (core to the role).\nInformatica Cloud Application Integration Developer, Professional Certification (desirable).\nInformatica IDMC Foundation / Data Engineering Foundation.\nDatabricks Certified Data Engineer Associate (desirable).\nMicrosoft Certified: Azure Data Engineer Associate (DP-203) (complementary).\nAWS Certified Data Engineer / Data Analytics Specialty (complementary).\nWhy NTT Data? \nEmpowerment and rewards are the cornerstone of our career development model. We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched. Our talent and positive attitude allow us to transform our goals into achievements, and projects into realities.\nNTT Data is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. 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