- Manage end-to-end data architecture, from selection of the platform, designing the technical architecture, and developing the application, testing and deploying solution.
- Design and implement effective database solutions and models to store and retrieve data.
- Examine and identify database structural necessities by evaluating platform operations, applications, and implement data strategy that is in line with business processes.
- The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
- Assess database implementation procedures to ensure they comply with internal and external regulations (GDPR, PII, PCI etc.). Integrating technical functionality, ensuring data accessibility, accuracy, and security.
- Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system. Oversee the migration of data from legacy systems to cloud based solutions. Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.
- Recommend solutions to improve new and existing database systems. Educate team members through training and individual support.
- 7 to 12 years of Overall IT Experience including 5+ years of Experience in data engineering and data warehouse and 3+ years of experience in any cloud technologies. Microsoft Azure is preferred.
- Hands on knowledge in SQL query, Stored procedures, views, triggers, Profiler, and performance tuning.
- Strong knowledge on Azure ADF, Databricks, SSIS, SQL Server, ADLS and SQL MI. Strong knowledge on Cloud technologies, Azure API Integrations, Active Directory and ADX, Webapps and containers.
- Hands on knowledge in Python, Delta Lake concepts, unity catalog and delta sharing. Good knowledge in reports and analytics using SSRS, Power BI and Tableau.
- Basic understanding on Fabric one lake and reporting. Good knowledge on Cloud and on-premises networking
- Certification in any cloud technologies like Azure data fundamentals, Data engineer, and Databricks or Fabric.
- Technical knowledge of information technology networks, systems, peripherals and software applications, Data migration activities, Data center technologies (both cloud and on-prem)
- Knowledge of end-to-end systems development life cycles, i.e., waterfall, iterative and other modern approaches to software development
- Knowledge of FIS' products and services
- Knowledge of the business goals, objectives and business operations for the appropriate FIS organization
- An exciting opportunity be a part of World's Leading FinTech Product MNC
- A range of benefits designed to help support your lifestyle and wellbeing.
- A multi-faceted job with a broad spectrum of responsibilities.
- A modern international work environment and a dedicated and innovative team.
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Azure Data Engineer - Chennai, India - FIS Global
Description
Position Type :
Full timeType Of Hire :
Experienced (relevant combo of work and education)Education Desired :
Bachelor of Computer ScienceTravel Percentage :
0%Azure Data Engineer
Are you curious, motivated, and forward-thinking? At FIS, you'll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.
About the Team
We are AI team responsible for managing the corporate data lake that meets the internal Data and Reporting needs of FIS organization. The team responsible to build Corporate Data Lake - Ingesting data into lake from source systems, Provide the required support to ensure the adherence of all the data management principles including Data Quality and Data Governance, Generating the reports and business-insights to the business.
IT data architect position for CIO Platform Services Team in the Global Delivery Organization to build, optimize, maintain logical data solutions.
IT Data Architect to take complete ownership and accountability of implementing Data migration models, Build Data Modeling, Data Security, Data Governance, Identify new Data system requirements and Monitoring across organization.
Provide strong leadership and mentoring to the team members.
What you will be doing:
What you Bring:
Added bonus if you have:
What we offer you:
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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