GCP Services, Pyspark, Gurgaon, Haryana, India

AIA - Gurgaon
Exp - 5.5 yrs to 9 yrs

Job Summary

Serve as a senior developer specializing in data and application solutions on Google cloud ecosystem designing and implementing scalable services using platforms such as BigQuery Cloud Spanner Cloud SQL AlloyDB and Google Distributed Cloud while ensuring robust risk management and high quality standards for cards and payments use cases in a hybrid work model.

Responsibilities

Design and implement scalable data processing pipelines using Dataproc Metastore and BigQuery to support complex analytics and reporting for critical business functions in a day shift hybrid work model.
Develop and optimize secure data ingestion patterns using Datastream and Cloud Storage that enable near real time data availability for analytical and operational workloads across the enterprise.
Build highly available transactional services using Cloud Spanner Cloud SQL AlloyDB and Google Cloud Firestore that power core applications while meeting strict performance and reliability targets.
Configure and manage BigLake to provide a unified governed data access layer that simplifies analytics across data lakes and warehouses while improving data discoverability and reuse.
Create and maintain metadata and schema management strategies using Dataproc Metastore and Datastore to ensure consistent data definitions and high quality across multiple projects and environments.
Utilize Google Distributed Cloud and Anthos to design and implement hybrid and multi location application deployments that enable consistent operations across on premises and cloud environments.
Apply structured risk management practices throughout design development and deployment activities to identify document and mitigate risks related to data integrity security and regulatory compliance.
Use Google Cloud Datalab and related tooling to explore data validate transformation logic and prototype analytical solutions that can be productionized for business critical reporting.
Implement and enforce secure access patterns across Cloud Storage BigQuery and other data services to safeguard sensitive information especially for cards and payments scenarios when relevant.
Collaborate with architects product teams and testers to refine technical requirements estimate effort and deliver high quality features that align with organizational objectives and client expectations.
Perform code reviews and quality checks for cloud native applications and data workflows to ensure adherence to best practices in reliability observability and maintainability.
Create clear technical documentation covering solution design data flows configuration details and operational runbooks to support efficient knowledge transfer and sustainable operations.
Optimize cost and performance of cloud resources by tuning queries storage layouts and cluster configurations to maximize value from the Google cloud platform investments.

Qualifications

Demonstrate strong proficiency in designing and building solutions using Google Distributed Cloud Anthos and core services such as Cloud SQL Cloud Spanner AlloyDB and Google Cloud Firestore for transactional and operational workloads.
Exhibit hands on experience with data engineering on Google cloud including BigQuery BigLake Dataproc Metastore Datastream Cloud Storage Datastore and Google Cloud Datalab to deliver end to end analytical solutions.
Show practical understanding of risk management principles and their application in software development and data engineering including secure coding data protection and regulatory awareness.
Display proven ability to troubleshoot complex performance and reliability issues across distributed data pipelines and cloud native applications using diagnostic tools and observability practices.
Prefer background in cards and payments domain with knowledge of transaction flows settlement processes and common data patterns to translate business needs into robust technical designs.
Illustrate strong communication and collaboration skills to work effectively in a hybrid model with cross functional teams while managing priorities and delivering outcomes within agreed timelines.

Certifications Required

Google Professional Data Engineer or Google Professional Cloud Database Engineer or equivalent Google cloud certification relevant to listed services

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.

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