hireejobs
Hyderabad Jobs
Banglore Jobs
Chennai Jobs
Delhi Jobs
Ahmedabad Jobs
Mumbai Jobs
Pune Jobs
Vijayawada Jobs
Gurgaon Jobs
Noida Jobs
Oil & Gas Jobs
Banking Jobs
Construction Jobs
Top Management Jobs
IT - Software Jobs
Medical Healthcare Jobs
Purchase / Logistics Jobs
Sales
Ajax Jobs
Designing Jobs
ASP .NET Jobs
Java Jobs
MySQL Jobs
Sap hr Jobs
Software Testing Jobs
Html Jobs
IT Jobs
Logistics Jobs
Customer Service Jobs
Airport Jobs
Banking Jobs
Driver Jobs
Part Time Jobs
Civil Engineering Jobs
Accountant Jobs
Safety Officer Jobs
Nursing Jobs
Civil Engineering Jobs
Hospitality Jobs
Part Time Jobs
Security Jobs
Finance Jobs
Marketing Jobs
Shipping Jobs
Real Estate Jobs
Telecom Jobs

Enterprise Software Engineer - Cloud Data Engineering

1.00 to 10.00 Years   Pune   17 Aug, 2026
Job LocationPune
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Enterprise Software Engineer About the Role: Under general supervision, oversees moderately complex data engineering and cloud data warehouse implementation projects. Responsible for a variety of tasks to ensure deliverables are implemented on time and meet user requirements. Activities may include development of work plan, identify appropriate tools and technology needed, coordinate activities of other project team members. Ensures that implementations and related services are delivered on time and meet user requirements by maintaining control over the project scope and quality. Responsibilities: Work with functional teams to successfully deliver on system design and development for the needed data integration and data management requirements supporting various Business Units. Work with cross-functional teams to implement cloud data management solutions (Snowflake) and data ingestion solutions to support various Business Units Work with GTS team to incorporate GenAI capabilities to deliver data ingestion pipelines and expedite data insights for users Work across the GBS organizations including teams responsible for requirements, solution architecture, quality assurance and production support for successful design and development of cloud data integration solutions Collaborate with business process owners to define analytic and data ingestion requirements Work closely with PMO, Quality Assurance, Production Support, and Client executives across various Business units. Ensure that solutions are being delivered per standards of availability, scalability, and security point of view, and that they are done on time with highest quality. Support Operations teams with job monitoring and delivering enhancements and defect fixes Required experience: Education: Required: Bachelors degree in computer science or related field. Experience: Minimum 4 - 6 years broad Information Technology experience 2-5 years experience designing and building data warehouse and data engineering solutions on cloud platform such as Snowflake and Informatica IDMC Maintain proficiency in ETL/data integration and information management processes, technologies and architectures: Dimensional data modeling principles, snowflake schemas, de-normalized data structures, slowly changing dimensions, etc. Strong hands-on experience with SQL query development and Python Solid understanding of latest GenAI solutions to deliver data engineering solutions Solid understanding of cloud data platforms (Snowflake, Fabric), including data modeling and DataMart design Analyzing business needs, including scheduling meetings, planning agendas, collaborating with business users to refine and deliver solutions. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure were getting to know younot a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Experience Level Senior Level .

Keyskills :
data engineeringsystem designdata integrationdata managementSnowflakeETLSQLPythoncloud data warehouse

Enterprise Software Engineer - Cloud Data Engineering Related Jobs

© 2019 Hireejobs All Rights Reserved