{"id":3433635,"url":"https://alion.io/job/staples-india-lead-data-engineer-2","title":"Lead Data Engineer","company":{"id":4441822,"name":"Staples India Business Innovation Hub","domain":"staplesindia.in","url":"https://alion.io/company/staples-india","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":{"grade":"B","score":75,"open_postings":36,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":59000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-11-01T08:13:38Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"Duties &Responsibilities Lead the design, development, and optimization of ETL/ELT pipelines and workflows Write, tune, and optimize advanced SQL queries for large-scale data processing Build and maintain data warehouses and data models (relational, dimensional, star schema) Translate business requirements into robust, well-architected, and reusable data solutions Partner with analysts, data scientists, and stakeholders to deliver trusted, actionable datasets Implement and maintain unit tests, integration tests, and validation frameworks to ensure pipeline reliability Document workflows, and design decisions to support knowledge sharing and operational continuity Apply coding standards, CI/CD practices, version control, and peer code reviews to ensure high-quality deliverables Proactively monitor, optimize, and troubleshoot pipelines for performance, scalability, and cost efficiency Support deployments and handle post-production monitoring and incident resolution Mentor associate engineers, providing technical guidance and feedback\nRequirements Basic\nQualifications Bachelor’s degree in computer science, Information Systems, Engineering, or a related field 6-10 years of hands-on experience in data engineering or related fields Expertise in writing complex SQL queries, optimizing, using advanced functionals and turning the performance on cloud data warehouse environment. 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