Practice - AIA - Artificial Intelligence and Analytics
About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking a Data Analyst with strong Python and Spark skills to support data engineering and analytics initiatives. This role involves working with large datasets using Databricks, developing data processing logic, and collaborating with business and product teams to deliver data-driven solutions. You will play a key role in transforming business requirements into technical implementations while ensuring data accuracy and quality. The position requires hands-on coding, SQL expertise, and the ability to work in an Agile environment.
In this role, you will:
· Develop and maintain data processing workflows using Python and Spark on Databricks.
· Collaborate with BSA and product teams to understand and translate requirements into technical solutions.
· Write Python and SQL code to process, validate, and analyze data.
· Maintain and update source-to-target mapping documents.
· Perform unit testing and support defect resolution in collaboration with QA and business testers.
· Coordinate with administrators for deployments and version control activities.
· Work closely with offshore teams to ensure smooth delivery and collaboration.
· Participate in Agile ceremonies including daily stand-ups and sprint planning sessions.
What you need to have to be considered
· 3+ years of experience in Data Analysis / Data Engineering roles.
· Strong expertise in Python and Spark for data processing.
· Hands-on experience with SQL for querying and data manipulation.
· Experience working with Databricks platform.
· Basic understanding of ETL/data pipelines and big data processing concepts.
· Experience with version control and collaborative development practices is a plus.
· Strong problem-solving and communication skills.
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Applications will be accepted until 26 Jun 2026.
Salary and Other Compensation:
The annual salary for this position is between $[62,550 - 84,000] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· Long-term/Short-term Disability
· Paid Parental Leave
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。
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