Staff Data Engineer

Amazing Career Moments Happen Here

Transforming the insurance industry is ambitious we know. Thats why at Applied Systems India Pvt Ltd. an Applied Systems company were building a team that shows up every day ready to learn willing to try new things and driven to deliver innovative software and services that make us indispensable to our customers all within a culture built on values that make us indispensable to each other too. With 40 years of experience in the Insurtech gamewerenot just redefiningwhatsachievablewerecreating a place where amazing career moments are made possible.

Position Overview

AppliedSystems Inc. a worldwide leader in insurance technology is currently searching for an experiencedStaffData Engineerwith proven experience in Google Cloud Platform (GCP)to join ourgrowing Datateamin are on an exciting journey to scale our Data and Analytics capabilities to enable better data-driven decision making across the business.In this role you will contribute towards setting the technical direction for our data platform on Google Cloud Platform defining architectureestablishingengineering standardsoptimizingdata processes and ensuring the seamless integration of data from various sources.This is an individual contributor role with organization-wide influence: you will solve our hardest data problems and raise the bar for how we solve all of them.If you are passionate about data and excited to work oncutting-edgetechnologies we want to hear from you!

What You will Do

• Design developoperationalizerobust and scalable data pipelineswith automated data quality checksto support business needsanddemonstrateownership oflive datapipelinesand establish the patterns other engineers use to build theirs.

• Proficiencyunderstanding and implementingdata life cyclesdata lineage custom metadata and datagovernance.

• ProficiencyimplementingBigQuerySQLprocedures functions andsimilar with actionablelogging

• OptimizeETL processes and data workflows to ensureabiding byperformanceconstraints for efficiencyandscalability.

• Together with the Principal Engineer and Architect own the architecture of our data platform end to end ingestion through consumption across GCPBigQuerydbt Airflow and Python.

• Expertisein JSON XML text parsing usingDataflowPython orbatch jobs.

• Define and enforce engineering standards across data teams: code review norms testing strategy reusable frameworks CI/CD for data.

• Design develop andmaintainrobust and scalable data models and schemas to support analytics and reporting requirements.

• Optimizedata processing performance ensure high availability scalability of data systems and solutions.

• Implement monitoring and alerting mechanisms to proactivelyidentifyand resolve issues.

• Ensure data quality and consistency through rigorous testing and validation processesin development and production tiers.

• Create update andmaintaintechnical documentation of the data processes pipelines and models.

• Mentor and grow engineers across teams through design review pair programming and structured technical feedback.

• Partner directly with Engineering Product and business leadership to translate ambiguous business problems into technical requirements.

• Identifysystemic problems no one has asked you tofix andbuild the case for addressing them.

• Evaluate emerging technologies and lead the technical roadmap for the data platform including a multi-quarter view of what we build next and what we retire.

What You will Need to Succeed

• 10years of experience inData/ETLEngineeringas well as Data /ETLArchitecture and pipeline developmentincluding3yearsoperatingat senior or lead levelwithdemonstratedtechnical influence beyond your immediate team.

• 3 years hands-onwith theGoogle Cloud Platform (GCP) including deepBigQueryexpertise:partitioning and clustering strategy slot and reservation management cost optimization at scale and query performance tuning.

• Proventrack recordarchitectingbuildingandscalingcloud data platform serving multiple consuming teams with specifics on scale latency and cost.

• Experience with the primary managed data services within GCP includingDataProc DataflowBigQueryetc.

• Deepexpertisein SQLDBTPython(Apache Airflow Composer)and hands-on experiencewith ETL tools likeTalendFivetranor similar.

• Demonstrated experience with streaming and near real-time architectures including delivery semantics schema evolution and late-arriving data.

• Strong dimensionalmodelingexpertise and the judgment to know when todepartfrom it.

• Experienceestablishingdata quality observability and testing frameworks that other engineers adopt andmaintain.

• Experience with infrastructure as code and CI/CD for data workloads.

• Demonstrated ability to influence without authority driving technical decisions across teams thatdontreport to you.

• Track recordof mentoring engineers to promotion.

• Excellent written communication including design documents that create alignment among senior stakeholders.

• Bachelors degree in Computer Scienceor a related field or equivalent experience.

When You Join Team Applied You Can Expect:

A culture that values who you areandrecognizesthat youarentjust an employee; you are a teammate and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.

We flex our time together collaborating remotely and in-person to empower our teams to work in the ways that work best for them.

Learn more about the people behind our products at

• LinkedIn Page Applied Systems India

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  EEO Statement

  Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied we dont discriminate and we are committed to recruit develop retain and promote regardless of race religion color national origin sexual orientation gender identity disability age veteran status and other protected status as required by applicable law.