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Job Description

Elevate Your Impact Through Innovation and Learning

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies.

With presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making.

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 in 2022, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.

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

• 9+ years of experience in data engineering in Implementation, Development, Maintenance and Troubleshooting on Data Quality and Data Integration.
• Strong working experience in integrating data from various sources into ETL tools and other ETL (Extract, Transform, Load) processes.
• Designing solutions for data warehouse, ETL, data mining focused and other cloud solutions.
• BI experience:
• PowerBI: Experience in data transformation (power query M language), data modelling (DAX), workspace, PBI Builder, build permissions, dynamic RLS, data analysis and power BI (quality in the visuals-max functionalities).
• Data Experience:
• Data analyst with data flow experience, design-design and build data models from data sources to front- end-extract, clean and transform data sources.
• Data engineer: ETL process, data warehouse.
• Financial data experience is required.
• Ensuring data governance and adherence to best practices
• Engaging with stakeholders, including architects and business stakeholders, to present and advocate for technology solutions.

What we're looking for

• Graduate / Postgraduate degree in Computer Science / Engineering from a reputed university.
• Over 9 years of experience in Data Engineering and Power BI skillset.
• Experience in Requirement gathering from client for data understanding and data mapping.
• Hands on experience in Data Engineering, Power BI, ETL tool.
• Knowledge of Tableau be an added advantage.

Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

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