s/w engg, San Jose, California, United States

Job Summary

This hybrid role is for an experienced developer with strong skills in Python Databricks SQL Databricks Workflows and PySpark focused on building scalable data solutions and analytics pipelines. The developer will design implement and optimize data processing workflows that support business insights improve operational efficiency and contribute to impactful data driven products for global stakeholders.

Responsibilities

Design robust data processing pipelines using Python and PySpark in Databricks to transform complex data into reliable curated datasets that enable advanced analytics and reporting across the organization.
Develop optimized Databricks SQL queries to support performant dashboards and analytical workloads ensuring data consumers can access trusted information with minimal latency and high reliability.
Configure and manage Databricks Workflows to orchestrate end to end data jobs ensuring timely execution effective dependency handling and consistent delivery of data assets to downstream applications.
Implement reusable modular code components and libraries in Python that standardize data transformations and business logic leading to faster development cycles and improved maintainability.
Collaborate closely with data engineers analysts and product teams in a hybrid work model to gather requirements validate solutions and align data products with strategic business objectives.
Optimize PySpark jobs for performance and cost efficiency by tuning configurations managing partitioning strategies and leveraging best practices for large scale distributed processing.
Ensure data quality and reliability by implementing validation checks error handling mechanisms and logging standards that reduce data issues and support faster troubleshooting.
Conduct thorough unit testing integration testing and performance benchmarking for Databricks workflows to ensure stable releases and minimize disruptions to data consumers.
Document datasets workflows and code logic in clear technical artifacts so that other team members can understand reuse and extend solutions effectively over time.
Provide support for day shift operations by monitoring data workflows resolving production issues and proactively identifying opportunities to improve data reliability without requiring travel.
Engage in continuous improvement by evaluating new Databricks features Python libraries and data engineering practices that can enhance scalability security and usability of data platforms.
Collaborate with cloud and security teams to ensure that all Databricks development adheres to organizational policies governance standards and compliance requirements benefiting stakeholders and society through responsible data use.
Participate in code reviews and knowledge sharing sessions in the hybrid work environment to promote high quality development practices and foster a culture of continuous learning and innovation.

Qualifications

Demonstrate strong proficiency in Python programming with hands on experience in writing efficient modular and testable code for data engineering and analytics use cases.
Exhibit solid experience in authoring and optimizing Databricks SQL queries for complex joins aggregations and analytical functions that support business reporting and data exploration.
Show practical expertise in building scheduling and managing Databricks Workflows including job orchestration parameterization and monitoring to support dependable data operations.
Apply deep understanding of PySpark fundamentals including RDDs DataFrames and Spark SQL along with performance tuning techniques suitable for large scale distributed data processing.
Bring relevant experience of four to seven years in data engineering or analytics focused development roles working on hybrid work models and collaborating with cross functional teams.
Demonstrate familiarity with version control practices testing frameworks and CI CD concepts that support reliable code deployment in modern data platforms.
Display strong communication and problem solving skills that enable effective collaboration with technical and nontechnical partners while focusing on delivering impactful data solutions.

Sobre a Cognizant
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram resultados tangíveis e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em cognizant.ai ou @cognizant.

A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.

Informações adicionais de emprego
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.

Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.

Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.