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Sr. Data Engineer Job Location: Vizag, India Recommended Experience: 710 years Position Summary Lead complex engineering design and delivery for Commercial Pharma datasets from Vizag. The role provides technical leadership across Databricks, Informatica IDMC, data modeling, performance tuning, code quality, architecture alignment and engineering best practices. Business / Program Context The role is part of a Vizag-based delivery capability supporting Commercial Pharma datasets across global markets. The work may include platform operations, data engineering, data quality, reporting, AI enablement, release governance and stakeholder support for enterprise commercial data products. The role is not limited to Japan-specific datasets; Japan market familiarity may be useful but is not a mandatory baseline requirement for most positions. Job Responsibilities - Translate solution designs into scalable and maintainable data engineering patterns. - Lead complex Databricks and IDMC pipeline design, optimization and delivery. - Review code, technical designs, mappings, unit test evidence and deployment plans. - Mentor Data Engineers and establish coding standards, reusable frameworks and performance guidelines. - Resolve complex data, performance, orchestration, dependency and production issues. - Partner with architects, platform teams, DQ teams, QA teams and business analysts to ensure end-to-end delivery quality. - Drive engineering improvements such as metadata-driven ingestion, automation and reusable validation frameworks. - Work as part of a Vizag-based delivery team supporting Commercial Pharma datasets and global commercial data stakeholders. - Collaborate with business, technology, governance, quality and offshore/onshore delivery teams across time zones. - Follow Agile delivery, SDLC, documentation, release, validation, access-control and data-governance standards. - Contribute to knowledge management, reusable assets, SOPs, runbooks and operational excellence initiatives. - Maintain strong communication discipline, including status updates, risk identification, issue escalation and timely stakeholder follow-through. Required Work Experience - 710 years of relevant experience aligned to the role and seniority level. - Prior experience in pharmaceutical, life sciences, healthcare analytics, commercial data platforms or enterprise data programs. - Experience working in a global delivery model with structured governance, documentation, SLAs and stakeholder communication. - Ability to work from Vizag and collaborate effectively with India, global and client teams. Technical / Functional Skills - Advanced Databricks engineering - Advanced SQL/PySpark - Informatica IDMC/IICS - Data modeling and Delta optimization - Technical leadership - Code review and mentoring - Cloud data architecture - Operational troubleshooting Commercial Pharma Dataset Exposure - Pharmaceutical commercial data platforms - Sales, prescription, claims, CRM and omnichannel datasets - Customer master, HCP/HCO, product master, territory and alignment datasets - Commercial KPIs, field force effectiveness, market share and promotional effectiveness - Data quality, reconciliation, lineage, metadata and controlled release processes Desirable Skills - Experience supporting global pharma companies or commercial data programs. - Exposure to Eisai-like commercial operating models, field reporting, sales operations and analytics use cases. - Japan market dataset exposure is preferred but not mandatory unless the assignment requires direct Japan business engagement. - Strong written and verbal communication skills; ability to explain data, risks, defects and business impact clearly. - Certifications in Databricks, Informatica IDMC, Azure/AWS, Scrum, ITIL, Tableau/Power BI or AI/ML are preferred depending on role. Success Measures / KPIs - High-quality technical delivery, reduced rework, better performance, stronger engineering discipline and effective mentoring. Indicative 30 / 60 / 90 Day Expectations - First 30 days: complete onboarding, understand commercial data landscape, delivery processes, documentation standards and role-specific tools. - First 60 days: independently contribute to assigned workstreams, support issue resolution, produce required artifacts and participate in governance forums. - First 90 days: demonstrate measurable ownership, improve delivery quality, identify improvement opportunities and support secure operations or project outcomes. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.