ApplySarthiData Engineer
Recro
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9,218 open data roles across 943 companies are on ApplySarthi right now, most of them in Bengaluru (504), Hyderabad (315), Mumbai (162).
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What data roles keep asking for: Python (39%), SQL (34%), AWS (30%), Machine learning (19%), Spark (14%), Databricks (14%), Stakeholder management (13%), Azure (13%) — counted across their open postings here.
Data Engineer jobs in Bengaluru · Data Engineer jobs in India · Remote Data Engineer jobs · CI/CD jobs · ETL jobs · Hadoop jobs · Python jobs
Recro has 7 open roles listed here.
- AI/ML Founding Engineerbengaluru
- App Engineerbengaluru
- Kong Adminbengaluru
- Fullstack Developerbengaluru
- AI Engineerbengaluru
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Recro.
Questions you are likely to be asked
- Why do you want to join Recro?
- What is your experience with ETL? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Data Engineer at Recro interview free →About the Role We are looking for a highly skilled Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will have strong expertise in big data technologies, cloud platforms, ETL frameworks, DataOps practices, and distributed computing. You will collaborate with cross-functional teams to build enterprise-grade data solutions that enable data-driven decision making across the organization. Bengaluru (5 days Work from Office) Exp - 5+ Requirements Roles & Responsibilities Design, build, and maintain scalable data pipelines and modern data platforms on Hadoop or cloud environments. Develop and optimize end-to-end ETL/ELT workflows for structured and unstructured data using modern data engineering frameworks. Architect robust data flows that improve scalability, reliability, and operational efficiency. Drive DataOps best practices by automating data provisioning, testing, monitoring, and deployment processes. Establish data governance standards, CI/CD pipelines, automated testing, and monitoring for production-grade data solutions. Collaborate with Enterprise Architecture and cross-functional teams to evaluate and implement the right data technologies and platform strategies. Build and maintain dimensional data models to support analytics and business intelligence initiatives. Develop highly optimized SQL queries to process and analyze large-scale datasets. Work with Python/PySpark and distributed computing technologies to process high-volume data efficiently. Lead data engineering work streams with a product mindset, ensuring high-quality and scalable data solutions. Continuously improve platform performance, deployment frequency, and data reliability through engineering best practices. Benefits Opportunity to build enterprise-scale data platforms. Exposure to modern DataOps, cloud, and big data technologies. Work with cross-functional teams on high-impact analytics and AI initiatives. Career growth within a leading global retail and hospitality organization.
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Listed on wellfound · posted 2026-10-05. ApplySarthi collects openings and links to application pages; the role is advertised by Recro, not by us.