Job Summary
This hybrid role seeks a senior developer with six to eight years of experience specializing in Databricks SQL Databricks Workflows and PySpark to build and optimize data solutions for life and annuities insurance. The role focuses on scalable pipelines reliable analytics and insight delivery that improve policyholder outcomes and support responsible business decisions.
Responsibilities
Design build and optimize Databricks SQL queries that support complex life and annuities insurance reporting and analytics needs while ensuring accuracy and performanceDevelop robust PySpark based data pipelines that process large insurance datasets efficiently and reliably for downstream actuarial and operational useConfigure and maintain Databricks Workflows that orchestrate end to end data processing and analytics tasks across hybrid environments with predictable executionImplement data quality checks and validation rules tailored to life and annuities products so that policy claim and premium data remains consistent and trustedCollaborate with business analysts and actuaries to translate life and annuities requirements into scalable Databricks solutions that enable data driven decisionsOptimize storage formats partitioning strategies and cluster configurations in Databricks to balance cost performance and reliability for large insurance workloadsCreate clear technical documentation that explains data models transformation logic and workflow behavior in language that is understandable across technology and insurance teamsSupport day to day production operations by investigating incidents resolving data issues and implementing preventive improvements that reduce recurring problemsApply secure coding and data handling practices so that sensitive insurance data is protected in line with enterprise governance and regulatory expectationsCoordinate with hybrid infrastructure and platform teams to ensure Databricks environments connectivity and dependencies are stable for day shift operationsParticipate in sprint activities by estimating effort planning tasks and delivering high quality development outcomes aligned with agreed timelinesEngage with testing teams to define test data scenarios and acceptance criteria that reflect real life and annuities processes and edge casesContribute to continuous improvement by identifying opportunities to streamline workflows reduce manual steps and enhance analytics capabilities for business stakeholders
Qualifications
Possess professional experience of six to eight years in data engineering or development roles with a strong focus on Databricks SQL and PySpark within enterprise settingsDemonstrate hands on expertise in configuring and managing Databricks Workflows for complex multi step data and analytics processes in a hybrid work modelShow deep domain understanding of life and annuities insurance concepts including policy lifecycle premiums claims reserves and related data structuresExhibit strong proficiency in writing efficient PySpark code tuning transformations and handling large scale structured and semi structured datasetsBring practical knowledge of relational databases data warehousing and dimensional modeling techniques that support insurance reporting and analyticsDisplay familiarity with data governance concepts such as data lineage metadata management and access control in regulated industries like insuranceCommunicate clearly with cross functional teams documenting solutions and explaining technical decisions in terms that align with business outcomes
Certifications Required
Preferred certifications include Databricks Data Engineer Associate and relevant insurance or actuarial domain certifications.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
