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Posted 21 June, 2026

Technology and Innovation - Azure Data Engineer

Riveron
India Full Time
Reference: 490_711684_a8c5c25f-6383-4ac7-9eb7-aaf6b1baebb2_1484539675

Riverionis looking for an experiencedAzure Data Engineerto 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 with4-5 years of experience, specializing inAzure-based solutions.

  • Proficient inSQL, with expertise in advanced query writing, stored procedures, and performance tuning.

  • Skilled inPythonfor data manipulation, automation, and integration tasks.

  • Experienced inPySparkfor large-scale distributed data processing.

  • Well-versed indata modeling, including relational, dimensional, and big data models.

  • Familiar withversion control toolslike 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 usingAzure Data Factory,Azure Databricks, andAzure Data Lake.

  • Develop and optimize data workflows and transformations usingSQL,Python, andPySpark.

  • 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 withAzure Synapse AnalyticsandAzure SQL Database.

  • Familiarity withCI/CD pipelinesand 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.

Check us out on social media:

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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.

Full time roles are 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/. Contract roles are not eligible for benefits.

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.

Artificial intelligence (AI) tools are used to support the hiring process in screening, assessing, and/or selecting applicants for this position. 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.

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