Senior Data Engineer

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DysrupIT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

Enterprise • SaaS • Cybersecurity

DysrupIT is a global cloud services and IT solutions firm that helps organizations adopt cloud technologies and transition to as-a-Service business models. The company provides enterprise cloud, managed services, application engineering, cybersecurity, and data analytics & information management, serving SMBs through multinational enterprises with Microsoft and other cloud platforms. DysrupIT also emphasizes community impact, talent development, and long-term partnerships to deliver secure, scalable, and business-aligned technology outcomes.

📋 Description

• Design, build, and maintain data ingestion pipelines for financial and billing data on GCP • Design and evolve BigQuery data models, including nested ARRAY/STRUCT tables, partitioning, and clustering strategies • Implement reconciliation checks across source, staging, and output layers • Build file validation and quarantine processes for invalid or incomplete source data • Design idempotent pipelines that can be safely rerun without duplicating or corrupting data • Implement append-only table patterns and use views as data checks to support auditability • Handle monetary values accurately using BigQuery NUMERIC types and appropriate rounding rules • Manage effective-dated reference data such as rates, mappings, and customer attributes • Establish and maintain data lineage from outputs back to their sources • Write clean, typed, and well-tested Python code using pydantic and pytest • Write and optimize advanced SQL for transformation, reconciliation, and reporting • Collaborate with engineers, analysts, and finance stakeholders to translate business rules into reliable data logic • Mentor team members and contribute to data engineering standards and best practices

🎯 Requirements

• 6+ years of data engineering experience • Proven experience building financial or billing pipelines where every amount must reconcile • Strong Python skills, including pydantic, typed code, and pytest • Advanced SQL skills, including complex joins, window functions, and performance tuning • In-depth Google BigQuery experience, including nested ARRAY/STRUCT tables, partitioning, and clustering • Experience handling money accurately using NUMERIC data types • Experience designing append-only tables and using views as data checks • Strong understanding of data quality practices, including reconciliation checks, file validation, and quarantine • Experience building idempotent, rerunnable pipelines • Experience implementing data lineage and managing effective-dated reference data • Invoicing domain experience, including credit notes, rebills, FX conversion, and month-end close (preferred) • Experience working with finance or billing teams in a regulated or audited environment (preferred) • Experience with other GCP services such as Cloud Storage, Cloud Run, or Firestore (preferred)

🏖️ Benefits

• Training and employee development opportunities • Career growth and advancement opportunities • Employees valued and respected • Positive and supportive company culture