{"id":3896318,"url":"https://alion.io/job/kalamntina-senior-big-data-engineer","title":"Senior Big Data Engineer","company":{"id":4452918,"name":"Kalamntina","domain":"kalamntina.com","url":"https://alion.io/company/kalamntina","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":true,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"D","score":44,"open_postings":821,"ghost_share":0.926,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Riyadh, Saudi Arabia"],"countries":["SA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Apache NiFi","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Jenkins","optional":true}],"status":"live","first_seen_at":"2025-10-08T00:00:00Z","employer_posted_date":"2025-10-08","last_verified_at":"2026-11-08T21:53:43Z","board_verified":true,"closed_at":null,"days_open":396,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":396},"description":"Responsibilities\nDesign, develop, and optimize ETL/ELT pipelines using Informatica DE and related tools.\nBuild and maintain real-time streaming solutions with Apache Kafka and Confluent.\nDevelop big data workflows on Cloudera using Spark (Python/Scala).\nAutomate and orchestrate data pipelines with NiFi or similar tools.\nCollaborate with data architects, BI teams, and business stakeholders to deliver scalable, reliable solutions.\nEnsure data quality, governance, and security compliance across pipelines.\nTroubleshoot performance, scalability, and integration issues.\nMentor junior engineers and provide technical guidance.\nMaintain documentation for designs, data mappings, and operational procedures.\nStay updated on big data, streaming, and Informatica technology trends.\nQualifications\nBachelor’s or Master’s in Computer Science, Information Systems, or related field.\n7+ years of hands-on experience in data engineering with strong focus on Informatica DE.\nExpertise in ETL/ELT design, data modeling, and large-scale data warehousing.\nStrong SQL and Python programming skills.\nExperience with Apache Kafka / Confluent and Apache Spark.\nHands-on experience with Cloudera stack (HDFS, Hive, Impala).\nProven ability in performance tuning and optimizing pipelines.\nStrong problem-solving, collaboration, and communication skills.\nInformatica certification is a plus.\nPreferred: Experience with cloud platforms (AWS, GCP, Azure), DevOps (CI/CD, Git, Jenkins), in-memory databases, and Agile delivery.\nRequired Skills\nCI/CD\nPython\nAWS\nData Modeling\nETL (Extract, Transform, Load)\nAzure Cloud Services\nKafka\nJob Details\nLocation: Riyadh - 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