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Job Description & How to Apply Below
Are you a talented and self-driven Data Engineer with a passion for building robust data pipelines and optimizing data storage solutions? Do you thrive in a dynamic environment where your technical expertise can make a significant impact? If so, we have an exciting opportunity for you to join our team at TopN Analytics as a Data Engineer.
Company Description
TopN Analytics enables businesses to unlock the full potential of their data by delivering actionable insights. The company specializes in Custom Analytics Solutions, Data Engineering, Data Automation, and Advanced AI/ML Models, tailored to meet unique business needs. The team employs cutting-edge technologies like AWS, GCP, Python, and Tableau to help clients reach the top in their industries, driving growth, efficiency, and profitability.
Visit to learn more about our mission to empower data-driven success.
Role Description
This is a full-time on-site role based in Mumbai for a Data Engineer. The Data Engineer will design, develop, and maintain scalable data pipelines and Extract, Transform, Load (ETL) workflows to support the organization’s analytics and reporting needs. Day-to-day tasks include building efficient data models, implementing data warehousing solutions, integrating diverse data sources, and collaborating with cross-functional teams to deliver reliable data solutions.
The role also involves ensuring data integrity, optimizing system performance, and contributing to innovative analytics initiatives.
Qualifications
- Proficiency in Data Engineering, Extract, Transform, Load (ETL), and Data Warehousing
- Experience in Data Modeling and creating efficient, scalable database structures
- Strong skills in SQL & Python, with the ability to extract data from large datasets
- Familiarity with cloud technologies, such as AWS, GCP, and modern analytics tools
- Bachelor's or advanced degree in Computer Science, Data Science, Engineering, or a related field
- Strong problem-solving abilities and attention to detail
- Effective communication skills to collaborate with technical and non-technical teams
- Previous experience in analytics-driven industries is a plus
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