{"id":4290372,"url":"https://alion.io/job/tookitaki-data-engineer","title":"Data Engineer","company":{"id":42159,"name":"Tookitaki","domain":"tookitaki.com","url":"https://alion.io/company/tookitaki","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-13T17:28:53Z","employer_posted_date":null,"last_verified_at":"2026-11-13T17:28:53Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We're Hiring | Data Engineer – Services Delivery | India\n\nTookitaki is looking for a skilled and hands-on Data Engineer to join our Services Delivery team!\nIf you're passionate about building scalable data pipelines, working with big data technologies, and solving complex data integration challenges, we'd love to connect with you!\n\nLocation: India\nExperience: 3–5 Years\nDepartment: Services Delivery\nRole: Data Engineer\n\nWhat You'll Be Doing:\n Design, develop, and manage robust data ingestion and extraction pipelines.\n Work with batch and real-time data processing across on-premise and cloud environments.\n Integrate client data ecosystems with Tookitaki's FinCense platform.\n Optimize data pipelines for performance, accuracy, and reliability.\n Collaborate with Deployment, Product, and Engineering teams to ensure seamless client implementations.\n\nWhat We're Looking For:\n 3–5 years of hands-on Data Engineering experience.\n Strong experience with Apache Kafka, Apache NiFi, or similar ETL/ELT tools.\n Proficiency in Apache Spark, Hadoop, Hive, and HDFS.\n Hands-on experience with AWS (preferred) or GCP.\n Strong programming skills in Python, PySpark, or Java.\n Experience working with SQL and NoSQL databases.\n Strong understanding of data integration, pipeline optimization, and troubleshooting.\n\nGood to Have:\n• Experience in FinTech, banking, financial services, or compliance.\n• Experience with client-facing data integration and platform deployments.\n• Relevant AWS, Spark, or Big Data certifications.\n\nWhy Join Tookitaki\nAt Tookitaki, we're transforming financial crime prevention through AI-powered fraud detection and Anti-Money Laundering (AML) solutions. 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