{"id":3214007,"url":"https://alion.io/job/herofincorp-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2807211,"name":"HeroFinCorp","domain":"herofincorp.com","url":"https://alion.io/company/herofincorp","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Darwinbox","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Great Expectations","optional":false},{"name":"LLM","optional":false},{"name":"Prefect","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redpanda","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-24T17:36:42Z","employer_posted_date":null,"last_verified_at":"2026-10-24T17:36:42Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"About Us\nHero FinCorp Group is building HomeVerse, India's first fully digital home ownership ecosystem. We are building a high-quality technology organization with strong engineering foundations, modern architecture, and a product mindset focused on speed, reliability, and scale.\n\nAbout the Role\nWe are seeking a Senior Data Engineer to architect and build a scalable, production-grade data platform that supports product analytics, operational intelligence, AI/ML use cases, and decision-making across HomeVerse. This is a senior individual-contributor role with significant ownership over architecture, engineering standards, reliability, and the evolution of the data ecosystem.\n\nKey Responsibilities\nDesign and build scalable batch and real-time data pipelines across product databases, third-party APIs, event streams, and unstructured sources.\nOwn data architecture across ingestion, storage, transformation, orchestration, serving, observability, and access layers.\nDevelop robust ELT/ETL workflows with strong handling of schema evolution, backfills, retries, lineage, and data freshness.\nEstablish data quality, testing, reconciliation, monitoring, and alerting standards for business-critical datasets.\nBuild performant data models and semantic layers that enable reliable self-service analytics and downstream consumption.\nPartner with backend, product, analytics, and AI/ML teams to define data contracts and production-grade interfaces.\nMake sound build-versus-buy and architectural decisions, balancing scalability, maintainability, security, and cost.\nImplement governance, access control, privacy, and auditability appropriate for a financial-services environment.\nDrive infrastructure-as-code, CI/CD, code review, documentation, and engineering standards across the data stack.\nMentor engineers and contribute to technical hiring and capability building as the function scales.\n\nQualifications\nMinimum 8 years of relevant experience in data engineering, including ownership of large-scale or business-critical data platforms.\nExpert-level SQL and strong Python; solid software engineering fundamentals including testing, version control, modular design, and code review.\nDeep hands-on experience with at least one major cloud platform—AWS, GCP, or Azure—and modern cloud data architecture.\nStrong experience with orchestration frameworks such as Airflow, Dagster, or Prefect and transformation frameworks such as dbt or SQLMesh.\nHands-on experience with modern warehouses or lakehouses such as Snowflake, BigQuery, Databricks, Delta Lake, or Apache Iceberg. 1\nExperience with streaming, event-driven, or CDC architectures using technologies such as Kafka, Kinesis, Redpanda, Debezium, or equivalents.\nStrong understanding of data modeling, query optimization, distributed systems, partitioning, storage formats, and performance tuning.\nExperience implementing data quality and observability using frameworks such as Great Expectations, Soda, Monte Carlo, or equivalent approaches.\nExperience with infrastructure-as-code and deployment automation using Terraform, Pulumi, or equivalent tooling.\nDemonstrated ability to independently evaluate technical trade-offs and defend architectural decisions.\n\nPreferred Qualification:\nExperience supporting AI/ML and LLM workloads, including embeddings, vector stores, RAG pipelines, feature computation, and evaluation datasets.\nExperience in fintech, lending, payments, banking, insurance, or another regulated environment.\nExperience with data catalogs, lineage, governance, and metadata platforms such as DataHub, OpenMetadata, or Unity Catalog.\nExperience optimizing cloud and data infrastructure costs at scale with measurable impact.\nPrior experience as a senior or founding data engineer in a high-growth product organization.\n\nWhat This Role Offers \nThe opportunity to shape the data architecture and engineering standards of a rapidly growing digital platform, with substantial autonomy over foundational technical decisions and direct exposure to product, business, and technology leadership.","description_format":"text","description_chars":4061,"description_truncated":false,"requirements":{"experience_years_min":8,"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":["Business & SME Lending","Consumer Loans & 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