Data Engineer at Everise

, , India -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, Data Architecture, SQL, T-SQL, Stored Procedures, Query Performance Tuning, Data Warehousing, Data Modeling, Data Transformation, Data Quality, Cloud Database Solutions, Azure SQL Database, AWS RDS, BigQuery, Snowflake, Redshift

Industry

Outsourcing and Offshoring Consulting

Description

Company Overview Join us on our mission to elevate customer experiences for people around the world. As a member of the Everise family, you will be part of a global experience company that believes in being people-first, celebrating diversity and incubating innovation. Our dedication to our purpose and people is being recognized by our employees and the industry. Our 4.6/5 rating on Glassdoor and our shiny, growing wall of Best Place to Work awards is a testament to our investment in our culture. Through the power of diversity, we celebrate all cultures for their uniqueness and strengths. With 13 centers around the world and a robust work at home program, we believe great things happen when we work with people who think differently from us. Find a job you’ll love today! We are looking for a skilled and experienced Data Engineer to design, build, and optimize scalable data pipelines and architectures that power data-driven decision-making across the organization. Candidate with a proven track record of writing complex stored procedures and optimizing query performance on large datasets. Requirement: Architect, develop, and maintain scalable and secure data pipelines to process structured and unstructured data from diverse sources. Collaborate with data scientists, BI analysts and business stakeholders to understand data requirements. Optimize data workflows and processing for performance, ensure data quality, reliability and governance Hands-on experience with modern data platforms such as Snowflake, Redshift, BigQuery, or Databricks. Strong knowledge of T-SQL and SQL Server Management Studio (SSMS) Experience in writing complex stored procedures, Views and query performance tuning on large datasets Strong understanding of database management systems (SQL,NoSQL) and data warehousing concepts. Good knowledge and hands on experience in tuning the Database at Memory level, able to tweak SQL queries. In-depth knowledge of data modeling principles and methodologies (e.g., relational, dimensional, NoSQL). Excellent analytical and problem-solving skills with a meticulous attention to detail. Hands-on experience with data transformation techniques, including data mapping, cleansing, and validation. Proven ability to work independently and manage multiple priorities in a fast-paced environment. Work closely with cross-functional teams to gather and analyse requirements, develop database solutions, and support application development efforts Knowledge of cloud database solutions (e.g., Azure SQL Database, AWS RDS). If you’ve got the skills to succeed and the motivation to make it happen, we look forward to hearing from you. Everise delivers happiness to millions of customers around the world. We excel at solving customer problems on behalf of some of the world’s biggest brands. Our specialty sectors are healthcare, travel, technology, and financial services. Companies rely on Everise, a leading customer experience firm, to drive their business forward by transforming customer care into something extraordinary and consistently delivering positive interactions across the globe in 32 languages. At our core, we are a diverse and inclusive group of champions who learn from each other. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal-opportunity employer and a pleasant and supportive place to work. Join us and become a champion of customer happiness! Learn more at www.weareeverise.com.

Responsibilities

The Data Engineer will design, build, and optimize scalable data pipelines and architectures to support data-driven decision-making. This role involves collaborating with data scientists and business stakeholders to understand data requirements and ensure data quality and governance.