Job Summary
We are seeking a highly skilled Manager-Data & ML Engineering with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Azure Databricks and Azure Platform and will work in a hybrid model with day shifts. This role involves managing data engineering projects ensuring the successful implementation of machine learning solutions and contributing to the companys data-driven initiatives.
Responsibilities
- Oversee the design and implementation of data engineering solutions using Azure Databricks to drive business insights and efficiency.
- Collaborate with cross-functional teams to integrate machine learning models into existing data pipelines for enhanced decision-making.
- Ensure the scalability and reliability of data platforms by leveraging Azure Platform capabilities.
- Lead the development of data processing frameworks that support real-time analytics and reporting.
- Provide technical guidance and mentorship to junior engineers to foster a culture of continuous learning and improvement.
- Monitor and optimize data workflows to ensure high performance and cost-effectiveness.
- Coordinate with stakeholders to understand data requirements and translate them into actionable engineering plans.
- Implement best practices for data governance and security to protect sensitive information and maintain compliance.
- Drive innovation by exploring new data technologies and methodologies to enhance the companys data capabilities.
- Facilitate the deployment of machine learning models into production environments ensuring seamless integration and operation.
- Analyze and troubleshoot data-related issues providing timely resolutions to minimize disruptions.
- Collaborate with data scientists to refine algorithms and improve model accuracy and performance.
- Report on project progress and outcomes to senior management highlighting key achievements and areas for improvement.
Qualifications
- Possess a strong background in Azure Databricks and Azure Platform with proven experience in data engineering.
- Demonstrate proficiency in building and managing data pipelines and workflows.
- Exhibit excellent problem-solving skills and the ability to troubleshoot complex data issues.
- Show experience in mentoring and guiding junior team members to achieve project goals.
- Have a solid understanding of data governance and security best practices.
- Display strong communication skills to effectively collaborate with cross-functional teams.
- Be adept at managing multiple projects simultaneously ensuring timely delivery and quality outcomes.
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。
