What makes Cognizant a unique place to work? The combination of rapid growth and a unique place international and innovative environment! This is creating many opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.
Position Summary:
Results-driven Azure Data Engineer with expertise in designing, building, and optimizing scalable data pipelines across cloud and distributed systems. Skilled in Python, PySpark, and SQL and AI-driven solutions for data ingestion, transformation, and integration, with a strong focus on improving efficiency, and ensuring data quality. Experienced in metadata-driven frameworks, ETL process enhancements, and governance practices to deliver clean, reliable data for analytics and reporting. Adept at collaborating with cross-functional teams, monitoring platform performance, and driving continuous improvements to support business growth and decision-making.
Mandatory Skills:
- Big Data Technologies - HDFS, Hive, Apache Hadoop, Apache Spark
- Data Streaming Frameworks - Confluent Kafka, Apache Kafka, KSQL
- NoSQL Database - PostgreSQL, HBase
- Programming Languages - PySpark, Unix
- Cloud Platform - Azure Synapse, Azure, AWS, Cloudera
- Job Scheduler - Airflow, AWS Glue, Control-M
- Databases - Oracle 11g, MySQL, Netezza, IBM DB2, SSMS
- Continuous Integration and Development (CI/CD) - Azure DevOps, GIT, Bitbucket
- Container Technologies - AWS EKS, Docker
- Cluster Management - Kubernetes, Pods
- BI Tool - Power BI
- IDE Tool - Eclipse, IntelliJ, PyCharm
ETL Tool - Informatica 10.2, IICS
Scripting Languages - Unix, Python
Domain Exposure - Insurance, Banking
Duties and Responsibilities:
•Lead end-to-end development and implementation of migration project.
•Design and implement scalable data pipelines that extract, load, and transform data from various product systems into the master data warehouse.
•Create metadata-driven frameworks to ensure data quality, consistency, and governance.
•Optimization of data-pipeline using parametrized ETL mapping in IICS ensuring high performance and scalability.
•Develop the PySpark code to create data pipeline, metadata sheet and transform logic.
•Build a scalable reconciliation framework in PySpark to support three-ways data reconciliation and ensure data integrity.
•Debug & resolve all kinds of job execution failures in Azure (Dam connector, cosmos, SCD, custom jobs, metadata, file level issues).
•Collaborate with discovery and analytics team to provide accessible and integrated data for migration.
•Peer reviewed the code and provided improvement comments and suggested spark optimization configuration to reduce the time of long running jobs.
•Worked closely with data analysts, and business stakeholders to deliver trusted, well-understood datasets aligned to business needs.
•Use Atlassian tools (Jira, Confluence, Bitbucket) for project management, documentation, and collaboration.
•Participate in design reviews, implementation walkthroughs, and production deployments.
•Collaborate with onsite and offshore teams to coordinate tasks, align processes,
•Integrate AI-powered solutions to enhance and automate development, testing, data pipeline, and documentation workflows.
Qualifications & Certifications (Optional):
•Degree in computer science, Engineering.
•“Algorithms & Data Structure” certification from IIT
Salary Range: >$100,000
Date of Posting: 19-Jun-26
Next Steps: If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.
For a complete list of open opportunities with Cognizant, visit http://www.cognizant.com/careers. Cognizant is committed to providing Equal Employment Opportunities. Successful candidates will be required to undergo a background check.
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations sur la rémunération sont exactes à la date de publication. Cognizant se réserve le droit de modifier ces informations à tout moment, conformément aux lois applicables.
Les exigences linguistiques varient selon les postes, mais nous demandons à tous les candidats d’avoir une connaissance de base de l’anglais afin de faciliter les communications internes à l’échelle de l’entreprise. Pour les postes basés au Québec, une maîtrise de l’anglais est requise puisque vous fournirez des services et collaborerez avec des parties prenantes situées hors de la province, qui ne parlent pas nécessairement le français.
Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, de l'information génétique, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée telle que décrite par les lois fédérales, provinciales ou locales.
Si vous avez un handicap qui nécessite un aménagement raisonnable pour rechercher une offre d'emploi ou poser une candidature, envoyiez un courriel à [email protected] avec votre demande et vos coordonnées.
