Tata Consultancy Services
http://www.tcs.comAbout
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Jobs at Tata Consultancy Services
Responsibility of / Expectations from the Role
Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on Azure.
Profound experience in designing and developing data integration solutions using ETL tools such as DBT.
Hands-on experience in the implementation of cloud data warehouses using Snowflake & Azure Data Factory
Solid MS SQL Server skills including reporting experience.
Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms.
Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment.
Ensuring root cause resolution to identified problems.
Monitor and support the Data Solutions jobs and processes to meet the daily SLA.
Analyze the current analytics environment and make recommendations for appropriate data warehouse modernization and migration to the cloud.
Develop Snowflake deployment (Using Azure DevOPS or similar CI/CD tool) and usage best practices.
Follow best practices and standards around data governance, security and privacy.
Comfortable working in a fast-paced team environment coordinating multiple projects.
Effective software development life cycle management skills and experience with GitHub
Leverage tools like Fivetran, DBT, Snowflake, GitHub, to drive ETL, data modeling and analytics.
Data transformation and Data Analytics Documentation
JavaDesired Competencies (Technical/Behavioral Competency)
Loan IQ Domain and Practical knowledge
Working knowledge of LoanIQ for 7+ yrs in development , support , QA.
In-depth knowledge of LoanIQ Database schema
Mainframe and Java and .Net coupled with DB
Strong knowledge of relational Databases like Oracle 12/19c
Strong business domain / Functional knowledge GOOD nderstanding of Mainframes, SQL, Unix,. Net, Java and Service now
Responsibility of / Expectations from the Role
Loan IQ Domain and Practical knowledge.
In-depth knowledge of LoanIQ Database schema. Mainframe and Java and .Net coupled with DB. Strong knowledge of relational Databases like Oracle
On the ground value driven thought leadership ( continuous improvement ). North American Commercial Banking and Domain Knowledge. Strong business domain / Functional knowledge of batch operations and understanding of Mainframes, SQL, Unix,. Net, Java and Service now
ON OFF coordination on shift basis. Familiarity with Log monitoring applications / software’s. Understanding of various reports. Review, assess and document application, infrastructure and middleware platform service levels requirements, document failure and recovery scenarios, performance against design and expectation
Flexibility to work in shifts. Excellent communication skills
Coordination with the Application Development, Infrastructure Engineering, Production Support as needed. Support triage for escalated issues and on call rotation. Comfortable with generating reporting and creating summaries. Experience with file transfer mechanisms and software. Ability to maintain and enhance complex job dependency charts
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Reltio is a pioneering force in cloud-native master data management (MDM), revolutionizing how Global 2000 enterprises handle their data. Founded in 2011 by Manish Sood, the company has evolved from a startup to a leading SaaS platform valued at $1.7 billion. Their innovative approach helps organizations unify complex data from multiple sources, enabling businesses to create reliable, real-time data experiences that drive growth and innovation. The company's mission is to help enterprises accelerate the value of their data while ensuring accuracy, compliance, and security.
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Reltio's global team of approximately 780 employees operates with a strong set of core values: Customer First, Better Together, Simplify & Share, Own It, and Always Better Than Yesterday. The company maintains a digital-first, flexible work environment that emphasizes collaboration and innovation. Team members come from diverse backgrounds and bring varied skill sets, from data engineering and cloud architecture to customer success and product development. The culture encourages bringing one's "whole self" to work, with a focus on personal growth and collective success.
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- Named "Data Management Company of the Year" in 2024 Data Breakthrough Awards
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