Senior Data Engineer
Sunnydata
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This role on the market
7,303 open data roles across 663 companies are on ApplySarthi right now, most of them in Bengaluru (417), Hyderabad (310), Mumbai (156).
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What data roles keep asking for: AWS (25%), SQL (23%), Python (22%), Machine learning (12%) — counted across their open postings here.
Data Engineer jobs in Mexico · Remote Data Engineer jobs · AWS jobs · Azure jobs · Data warehousing jobs · Databricks jobs
Sunnydata has 34 open roles listed here.
- Technical Project Manager
- Technical Project Manager
- Technical Project Manager
- Sr Data Engineer | Databricks Experience
- Sr Data Engineer | Databricks Experience
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to AWS, SQL, Python, Machine learning. Practise those questions before you sit with Sunnydata.
Questions you are likely to be asked
- Why do you want to join Sunnydata?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
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Practise the Senior Data Engineer at Sunnydata interview free →At SunnyData our mission is to help our customers in their data journey to power their business. We believe a solid foundation is the key to achieving outstanding data driven results: highly scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications. As a Senior Data Engineer , you will play a critical role during this customer journey. You will directly work with internal teams and customers to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and Business Intelligence insights. The Impact You Will Have Be part of a team responsible for supporting new and existing customers in their data engineering needs. Guide customers to make the best technical decisions to achieve their goals. Actively work across multiple customer accounts which you would need to track and report on their progress. Design, build and operationalize complex data solutions, fix issues, apply transformations, and recommend data cleansing / quality solutions. Analyze data sources to determine their value and recommend them to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Collaborate within and across teams to support delivery and educate end users on data products / analytic environments. Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate. Test data movement, transformation code, and data components. What We Look For 5+ years of related experience in data engineering and data product development. Experience in one or more of the following: Data Engineering technologies (e.g., Spark, Hadoop, Kafka) Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO) Data Warehousing (e.g., SQL, OLTP/OLAP/DSS) Solid understanding of the end to end data analytics workflow. Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on. Proven problem solving skills including debugging skills. Strong English verbal and written communication skills. Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities. Excellent time management and prioritization skills. Nice to have: knowledge of public cloud platforms AWS, Azure or GCP. Nice to have: Databricks data engineering or machine learning certification. Education: Bachelor’s Degree in Computer Science or Engineering related field. Our Commitment to Diversity and Inclusion: SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic. Why Join SunnyData? Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI. Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making. Career Growth: Opportunities for professional development and career advancement. Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing. If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.
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Listed on ashby · posted 2026-07-29. ApplySarthi collects openings and links to application pages; the role is advertised by Sunnydata, not by us.