{"id":1062427,"url":"https://alion.io/job/weekday-bods-data-engineer","title":"BODS Data Engineer","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":100,"ghost_share":0,"stale_share":0.98,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-09T06:03:00Z"}},"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":["Pune, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":48000,"period":"year","method":"role_country_seniority_unknown","sample_n":171},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"DataStage","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Oracle","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Python","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-09-19T10:01:53Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-11-09T10:49:37Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"This role is for one of the Weekday's clients\nMin Experience: 5+ years\nLocation: Pune, Bengaluru\nJobType: full-time\nWe are seeking an experienced Lead Data Engineer to take end-to-end ownership of Enterprise Data Warehouse (EDW) solutions. This role will be responsible for designing, architecting, and optimizing scalable, secure, and high-performance data pipelines using SAP BODS, IBM DataStage, Redwood, SQL, Oracle, and modern data platforms.\nThe ideal candidate will combine strong hands-on technical expertise with leadership capabilities to drive data engineering best practices and deliver enterprise-grade data solutions aligned with business objectives.\nRequirements\nKey Responsibilities\n1. EDW Architecture & Data Engineering\nDesign and implement scalable data integration and transformation frameworks for the Enterprise Data Warehouse.\nArchitect and optimize ETL/ELT pipelines using SAP BODS and IBM DataStage.\nDevelop and maintain robust data models (Star/Snowflake schemas, SCD implementation).\nEnsure high availability, reliability, and performance of data pipelines.\nImplement data governance, security, and compliance standards.\n2. ETL Development & Optimization\nDevelop complex data workflows and transformations.\nPerform performance tuning of ETL jobs and SQL queries.\nOptimize batch processing and scheduling using Redwood.\nImplement error handling, logging, and monitoring mechanisms.\nManage incremental loads and data reconciliation processes.\n3. Database & SQL Development\nWrite and optimize complex SQL queries, stored procedures, and functions.\nWork extensively with Oracle databases and related technologies.\nDesign and manage indexing strategies and query optimization.\nSupport database performance analysis and tuning.\n4. Leadership & Team Management\nLead and mentor a team of data engineers.\nConduct code reviews and enforce development standards.\nDrive technical best practices and architecture governance.\nCollaborate with cross-functional teams including BI, Analytics, and Application teams.\nParticipate in sprint planning, estimation, and technical roadmap discussions.\n5. Stakeholder Collaboration\nWork closely with business stakeholders to gather and translate requirements into technical solutions.\nProvide technical guidance and solution recommendations.\nEnsure alignment between enterprise data strategy and business goals.\nSupport production issue resolution and root cause analysis.\nRequired Skills\nTechnical Expertise\nStrong experience with SAP BODS\nHands-on experience with IBM DataStage\nExperience with Redwood scheduling\nAdvanced SQL development\nStrong expertise in Oracle database\nDeep understanding of Enterprise Data Warehouse architecture\nData Engineering Concepts\nData modeling (Star/Snowflake schema, SCD Types)\nETL/ELT best practices\nData quality frameworks\nPerformance tuning and optimization\nData security and governance standards\nPreferred / Good to Have\nExperience with modern cloud data platforms (Azure, AWS, GCP)\nKnowledge of Snowflake, Databricks, or Synapse\nCI/CD implementation for data pipelines\nExposure to data cataloging and metadata management tools\nExperience in Agile/Scrum methodologies\nQualifications\nBachelor’s or Master’s degree in Computer Science, Information Systems, or related field.\n8+ years of experience in Data Engineering.\n2+ years of experience in leading technical teams.\nKey Competencies\nStrong architectural and analytical skills\nLeadership and mentoring capability\nExcellent communication and stakeholder management\nProblem-solving mindset\nAbility to drive enterprise-scale data initiatives\nFlexibility for Shift working is mandatory.\nMust-have skills\nSAP BODS, SQL, IICS\nGood-to-have skills\nredwood, Python, Banking 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