{"id":3958711,"url":"https://alion.io/job/nucleusteq-data-integration-developer-informatica-cdi","title":"Data Integration Developer (Informatica CDI)","company":{"id":694295,"name":"NucleusTeq","domain":"nucleusteq.com","url":"https://alion.io/company/nucleusteq","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":75,"open_postings":12,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Indore, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Linux","optional":true},{"name":"Python","optional":true},{"name":"Unix","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-11-09T07:00:31Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T10:22:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Role Overview\nWe are looking for a proactive Data Integration Developer with practical, hands-on experience in\nInformatica Cloud Data Integration (CDI). In this role, you will design, build, test, and maintain cloud-native data pipelines, ingesting and transforming data across diverse cloud and on-premise platforms to support our enterprise analytics and reporting ecosystems.\nKey Responsibilities\nPipeline Development: Design, build, and optimize end-to-end data pipelines using Informatica CDI (mappings, mapping tasks, taskflows, and synchronization tasks).\nSource/Target Integration: Establish connections and ingest data from heterogeneous sources, including relational databases, cloud storage (AWS S3, Azure Data Lake, GCP), APIs, and modern data warehouses (Snowflake, BigQuery, Databricks, or Amazon Redshift).\nData Transformation: Implement business logic using standard and advanced transformations (e.g., Expression, Router, Aggregator, Joiner, Lookup, Normalizer, and SQL ELT pushdown).\nScheduling & Automation: Schedule and orchestrate workflows via CDI Taskflows and integrate with external job schedulers or CI/CD deployment pipelines where applicable.\nTesting & Debugging: Perform unit testing, resolve pipeline bottlenecks, and debug run-time errors or session logs.\nMaintenance & Monitoring: Monitor production execution runs, optimize execution runtimes, and assist in root-cause analysis for failed jobs.\nRequired Qualifications & Skills\nInformatica Expertise: 3+ years of hands-on experience building, deploying, and troubleshooting mappings and taskflows in Informatica CDI (IDMC).\nSQL Proficiency: Strong practical knowledge of SQL (writing complex joins, aggregations, window functions, and query performance tuning).\nData Warehousing Foundations: Solid understanding of dimensional modeling (Star and Snowflake schemas), slowly changing dimensions (SCD Type 1/2), and incremental load strategies.\nCloud & Platform Experience: Working familiarity with at least one major cloud data\nwarehouse (Snowflake, Google BigQuery, or Amazon Redshift) and cloud object stores (S3, ADLS).\nProblem Solving: Ability to read data mapping specifications, translate functional requirements into technical workflows, and debug mapping issues independently.\nPreferred / Nice-to-Have Skills\nHands-on experience with Informatica CAI (Cloud Application Integration) for API-led or real-time workflows.\nFamiliarity with Unix/Linux shell scripting or basic Python for pre/post-processing tasks.\nExperience configuring Informatica Secure Agents on Linux/Windows environments.\nOfficial Informatica certification (e.g., Informatica IDMC Cloud Data Integration Specialist).","description_format":"text","description_chars":2672,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["IT Consulting & Digital Transformation","AI 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