Job Summary
This role involves managing data and machine learning engineering projects leveraging expertise in Tableau PL/SQL and Python to deliver impactful solutions. The candidate will work in a hybrid model collaborating with cross-functional teams to drive innovation and optimize data-driven decision-making processes.
Responsibilities
- Oversee the design and implementation of data pipelines and workflows to ensure seamless integration and processing of large datasets.
- Develop and maintain machine learning models to address complex business challenges and improve operational efficiency.
- Collaborate with stakeholders to understand requirements and translate them into technical solutions using Tableau PL/SQL and Python.
- Provide technical guidance and mentorship to team members fostering a culture of continuous learning and innovation.
- Monitor and optimize the performance of data systems and machine learning models to ensure reliability and scalability.
- Conduct thorough testing and validation of data and ML solutions to maintain accuracy and compliance with industry standards.
- Implement best practices for data governance security and privacy to safeguard sensitive information.
- Analyze data trends and patterns to generate actionable insights that drive strategic decision-making.
- Work closely with product and engineering teams to align data and ML solutions with business objectives.
- Create detailed documentation for all data and ML processes to ensure transparency and knowledge sharing.
- Stay updated with the latest advancements in data engineering and machine learning technologies to incorporate innovative solutions.
- Facilitate effective communication between technical teams and non-technical stakeholders to ensure project alignment.
- Contribute to the companys mission by delivering data-driven solutions that enhance societal impact.
Qualifications
- Possess strong expertise in Tableau for data visualization and reporting.
- Demonstrate proficiency in PL/SQL for database management and query optimization.
- Exhibit advanced programming skills in Python for developing machine learning models and data processing scripts.
- Have a solid understanding of data engineering principles and machine learning algorithms.
- Showcase excellent problem-solving skills and the ability to work collaboratively in a hybrid work environment.
- Hold a minimum of 12 years of relevant experience in data and ML engineering with a maximum of 14 years.
- Display effective communication skills to interact with cross-functional teams and stakeholders.
- Bring a proven track record of delivering high-quality data and ML solutions in previous roles.
- Show familiarity with industry standards and best practices for data governance and security.
- Demonstrate adaptability to evolving technologies and business requirements.
- Exhibit strong analytical skills to interpret data and generate actionable insights.
- Have experience in creating detailed documentation for technical processes and solutions.
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。
