Technology and Innovation - Azure Data Engineer

Actively Reviewing the Applications

Riveron

India, Maharashtra Full-Time On-site

Posted 5 hours ago • Apply by June 10, 2026

Job Description

Riverion is looking for an experienced Azure Data Engineer to join our growing data team in India. This role is ideal for someone with a strong foundation in cloud-based data engineering, who thrives on solving complex data challenges and building scalable solutions using Azure technologies. If you're passionate about data, performance optimization, and automation, we’d love to hear from you

Who You Are

A data engineering professional with 4–5 years of experience, specializing in Azure-based solutions.
Proficient in SQL, with expertise in advanced query writing, stored procedures, and performance tuning.
Skilled in Python for data manipulation, automation, and integration tasks.
Experienced in PySpark for large-scale distributed data processing.
Well-versed in data modeling, including relational, dimensional, and big data models.
Familiar with version control tools like Git and best practices in collaborative development.
Knowledgeable in performance optimization techniques such as indexing, partitioning, and caching.

What You’ll Do

Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake.
Develop and optimize data workflows and transformations using SQL, Python, and PySpark.
Collaborate with cross-functional teams to understand data requirements and deliver robust solutions.
Implement and manage data models across various storage and processing layers.
Ensure high performance and reliability of data systems through tuning and optimization.
Maintain code quality and version control using Git or equivalent tools.
Contribute to continuous improvement initiatives and stay updated with the latest Azure data engineering trends.

Preferred Qualifications

Hands-on experience with Azure Synapse Analytics and Azure SQL Database.
Familiarity with CI/CD pipelines and DevOps practices in data engineering.
Experience working in Agile environments and participating in sprint planning and reviews.
Strong analytical mindset and ability to troubleshoot complex data issues.

#yantra

About Riveron

At Riveron, we partner with clients—from global multinationals to high-growth private entities—to solve complex finance challenges, guided by our DELTA values: Drive, Excellence, Leadership, Teamwork, and Accountability. Our entrepreneurial culture thrives on collaboration, diverse perspectives, and delivering exceptional outcomes. We are committed to fostering growth, both for our clients and our people, through mentorship, integrity, and a client-centric approach. This inclusive environment offers flexibility, progressive benefits, and meaningful opportunities for impactful work that supports well-being in and out of the office.

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Riveron Consulting is an Equal Opportunity Employer and believes that we are stronger together through our diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law.

This position is eligible for a full range of benefits including medical, dental, and vision insurance, 401(k) with company match, and PTO. A complete description of all available benefits can be found at Riveron's Benefits page at https://riveron.com/riveron-life/.

Fraud Alert

Please beware of fraudulent schemes or impersonations when going through the job application process. A Riveron employee will never recruit via text or extend unsolicited employment offers. Additionally, a Riveron employee will never ask you to exchange money or purchase anything as part of the recruiting process.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.