**Elevate Your Impact Through Innovation and Learning**We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East and the rest of Asia-Pacific.Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.Watch this video to understand what it means to Elevate Your Impact at Evalueserve! **About Data Analytics (DA)** - Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines. **What you will be doing at Evalueserve** - Implementing systems and processes for the movement, enhancement, integration, quality, and availability of both structured and unstructured data. - Communicating directly with senior stakeholders on projects and show innovation and problem-solving skills in all elements of work. - Working with global clients and project teams across geographies and travel to client locations as and when required. - Implementing data solutions in the cloud or hybrid environments. - Implementing and maintaining data models for the proper operation of cloud infrastructures. - Ensuring data integrity through rigorous attention to detail and validation, including adherence to all regulatory, privacy compliance, and security procedures **What we're looking for** - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field is preferred. - Intermediate verbal and written communication skills in English. - 10+ years of relevant experience working as a Data Engineer in On-prem or Cloud environments. - Proficient in Java. - Proficient in AWS Big Data services. - Hands-on experience with Snowflake platform. - Hands-on experience in Python for data manipulation and analysis. - Proficient in SQL with a strong ability to query and analyze data effectively.