{"id":4175836,"url":"https://alion.io/job/hcltech-senior-technical-consultant-35","title":"Senior Technical Consultant","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"Jenkins","optional":false},{"name":"Python","optional":false},{"name":"Replicate","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T16:00:31Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T16:00:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nseeking an experienced Data Engineer to design, develop, and optimize scalable enterprise data pipelines and transformation solutions on Google Cloud Platform (GCP).\nKey Responsibilities\nData Engineering & Development\nDesign and develop scalable data ingestion, transformation, and processing pipelines on GCP.\nBuild reusable engineering frameworks and patterns for batch, incremental, and Change Data Capture (CDC) workloads.\nDevelop and maintain data transformations using BigQuery, Dataform, SQL, and Python.\nConvert business and technical requirements into efficient data engineering solutions.\nSupport high-volume enterprise data migration and modernization initiatives.\nGCP Data Platform\nDesign and implement solutions using GCP services such as:\nBigQuery\nCloud Storage\nPub/Sub\nDataflow\nDataproc\nCloud Composer\nDataform\nOptimize BigQuery datasets, queries, partitioning, clustering, and overall workload performance.\nData Integration & CDC\nDesign and implement batch and near-real-time data integration patterns.\nBuild CDC pipelines from enterprise source systems into GCP.\nHandle inserts, updates, deletes, schema changes, incremental loads, and error/reprocessing scenarios.\nExperience with CDC/integration technologies such as Qlik Replicate/Qlik CDC, Datastream, Informatica, or equivalent is advantageous.\nData Quality & Reconciliation\nImplement data validation and reconciliation between source and target systems.\nDevelop automated controls covering row counts, duplicates, nulls, aggregates, business rules, and transformation accuracy.\nTroubleshoot data discrepancies and work with source-system, QA, and business teams to resolve issues.\nSupport SIT, UAT, migration rehearsals, production cutover, and hypercare.\nDevOps & Automation\nImplement CI/CD practices for data engineering workloads.\nMaintain source code and deployment artifacts using Git/GitHub.\nIntegrate automated testing and deployment into pipelines using tools such as GitHub Actions, Cloud Build, Jenkins, or equivalent.\nPromote reusable coding standards, parameterized solutions, and automated deployments across environments.\nTechnical Leadership\nProvide technical guidance and mentoring to junior data engineers.\nReview solution designs, code, SQL, transformation logic, and deployment artifacts.\nDefine reusable patterns and data engineering best practices.\nCollaborate with Data Architects, Platform Engineers, Data Modelers, DBAs, QA teams, and business stakeholders.\nSupport technical troubleshooting and root-cause analysis of complex data issues.\nSkill Requirements\nCore skills\nGoogle Cloud Platform (GCP)\nBigQuery\nDataform\nAdvanced SQL\nPython\nData integration / ETL / ELT\nCDC patterns\nData modeling concepts\nGit / GitHub\nCI/CD\nData reconciliation and testing\nOther Requirements\n5- 9 years of overall data engineering/ETL experience with strong hands-on cloud data engineering expertise.\nStrong experience working with large datasets and complex SQL transformations.\nExperience delivering enterprise data migration, modernization, or analytics solutions.\nStrong analytical, troubleshooting, communication, and stakeholder-management skills.\nPreferred Certifications\nGoogle Cloud Professional Data Engineer","description_format":"text","description_chars":3207,"description_truncated":false,"requirements":{"experience_years_min":5,"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 Consulting & Digital Transformation","Managed IT Services (MSP)","Systems Integrators","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-11-12T16:00:31Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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