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Expect system design for batch/stream pipelines, trade-offs on consistency vs. latency, SQL and data modeling drills, production debugging scenarios, and lead-level questions on team process, code review bar, and cross-functional delivery with non-engineering partners.
Strong fit if you already lead data engineers end-to-end—architecture through production—and want an on-site/hybrid Bengaluru lead seat at Trinitylifesciences. Thin company intel means you should validate stack, team size, and domain focus in process.
As Lead Engineer – Data Engineering at Trinitylifesciences in Bengaluru, a typical day centers on owning pipeline design and delivery: reviewing schemas and SLAs, unblocking engineers on ingestion/transform jobs, aligning with analytics or life-sciences stakeholders on data contracts, and keeping production reliability (monitoring, incidents, backfills) in check while mentoring the team on standards and reviews.
No certified learning paths or fees were supplied for this listing. Focus depth on warehouse/lakehouse modeling, orchestration (e.g., Airflow-class tools), SQL + a primary language (Python/Scala), cloud data services, testing/observability for pipelines, and lead skills: design reviews, stakeholder prioritization, and mentoring.
The listing marks remote as no and places the job in India – Bangalore (Bengaluru area, Karnataka).
Pipeline architecture and standards, delivery quality, production reliability, and technical guidance for the data engineering team—not only individual coding tickets.
No. This enricher only uses the provided job and location data; it does not invent pay bands or Glassdoor/Indeed-style ratings.
Website: trinitylifesciences.com
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Trinitylifesciences invites applications for the Lead Engineer - Data Engineering role in India - Bangalore. This full-time position centres on guiding advanced data platform work within a collaborative setting that values technical excellence. About This Position As Lead Engineer - Data Engineering at Trinitylifesciences in India - Bangalore, you will shape how large-scale data solutions are envisioned, built, and refined. The work involves aligning engineering practices with organisational goals, mentoring specialists, and ensuring data assets remain dependable for decision-making. This full-time opportunity suits professionals who thrive on ownership of end-to-end data flows while contributing to broader technical strategy. Responsibilities Architect and oversee scalable data pipelines that handle ingestion, transformation, and delivery across varied sources Define and enforce engineering standards for data quality, reliability, and long-term maintainability Guide day-to-day technical decisions for the data engineering group through reviews, mentoring, and knowledge sharing Partner with analytics, product, and infrastructure colleagues to translate business needs into robust data systems Evaluate emerging tools and patterns, then introduce them where they improve performance or reduce complexity Track system health, diagnose bottlenecks, and drive continuous optimisations for throughput and cost efficiency Qualifications Substantial hands-on background in data engineering combined with clear leadership or lead-level experience Demonstrated skill in designing ETL/ELT workflows and working with distributed processing frameworks Proficiency in core languages and libraries routinely applied in data engineering such as Python or Scala Working knowledge of cloud data services, orchestration platforms, and storage technologies Strong analytical mindset with the ability to communicate technical trade-offs to varied audiences Degree in computer science, information systems, or an equivalent quantitative discipline About Trinitylifesciences Trinitylifesciences is hiring for this role and offers a supportive team environment. Applying for This Role To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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