{"id":3678468,"url":"https://alion.io/job/tkxel-data-engineer","title":"Data Engineer","company":{"id":62299,"name":"Tkxel","domain":"tkxel.com","url":"https://alion.io/company/tkxel","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lahore, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"LLM","optional":false},{"name":"PostgreSQL","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Java","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-03T12:09:07Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T15:35:42Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Role Overview\nWe are seeking a Data Engineer to support a short-term AI application delivery project built on AI platform, which provides capabilities including MLOps, LLM/RAG, conversational UI, low-code data pipelines, and workflow orchestration.\nThe Data Engineer will focus on secure data integration and data pipeline development. Responsibilities include connecting to client data sources, configuring and implementing pipelines, transforming and preparing data, validating data quality, and documenting the solution for operational handoff. The role will also help define how relational, intermediate workflow, and output data should be stored, structured, and made available to downstream application, analytics, and AI workflows.\nThe ideal candidate will have strong SQL skills, experience with secure enterprise data connectivity, familiarity with YAML or configuration-driven setup, and hands-on experience building and integrating data pipelines. Relevant data sources may include relational databases, APIs, file-based data, and enterprise systems.\nThis is an approximately two-month engagement, with the final solution deployed within the client’s on-premises environment.\nKey Responsibilities\nBuild and configure batch data pipelines using the platform’s low-code data pipeline builder, with support for event- or message-based integration where required.\n\nSecurely connect to client data sources, including relational databases, APIs, file-based sources, on-premises storage, enterprise systems, and Kafka or similar messaging platforms.\n\nWrite and validate SQL for data extraction, transformation, filtering, aggregation, lookup logic, and validation.\n\nPrepare, transform, clean, and validate data required by AI workflows, ML models, backend services, and frontend applications.\n\nDefine and validate source-to-target mappings, data schemas, field mappings, data types, event/message schemas, and downstream input/output structures.\n\nCreate and maintain YAML or configuration files for pipeline setup, data mappings, data source connections, event/message connections, and workflow inputs.\n\nValidate data ingestion, including source formats, schemas, load completeness, duplicate and null handling, retry/reprocessing behavior, event/message delivery, data freshness, and downstream availability.\n\nPerform data quality checks, including completeness, consistency, reconciliation, schema validation, and event/message validation.\n\nDefine how relational, intermediate workflow, event/message, and output data should be stored, structured, and made available to downstream workflows.\n\nCollaborate with Backend, Frontend, DevOps, and client IT/security teams to ensure correct data formats, secure connectivity, and successful deployment.\n\nSupport testing, troubleshooting, deployment, documentation, and handoff of data pipeline components within the client’s on-premises environment.\n\nRequired Skills and Experience\nStrong SQL skills, including joins, aggregations, filtering, CTEs, window functions, and query optimization.\n\nExperience with data transformation, cleansing, source-to-target mapping, and data validation.\n\nHands-on experience building batch data ingestion pipelines from relational databases, APIs, file-based sources, and shared storage, including scheduling, incremental loads, retry handling, error handling, and delivery validation.\n\nExperience working with structured and semi-structured data, including relational tables, JSON, CSV, Parquet, event messages, and API outputs.\n\nFamiliarity with Kafka or similar messaging technologies, including event/message schemas and basic producer/consumer concepts.\n\nFamiliarity with YAML or configuration-driven data pipeline setup.\n\nExperience with PostgreSQL, including schema design, indexing, query optimization, and relational data modeling.\n\nExperience with secure enterprise or on-premises data integration, including network restrictions, credentials, and access controls.\n\nStrong troubleshooting, testing, documentation, and independent delivery skills.\n\nPreferred Qualifications\nExperience with data governance considerations, including access control, retention, lineage, auditability, and secure handling of client data.\n\nFamiliarity with Python or Java for custom transformation or integration logic where needed.","description_format":"text","description_chars":4302,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Mobile App Development Services","Web Development Services","Custom Software 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