AWS Data Engineer
Neoware Technology Solutions
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10,140 open data roles across 1,010 companies are on ApplySarthi right now, most of them in Bengaluru (523), Hyderabad (359), Mumbai (157).
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What data roles keep asking for: Python (39%), SQL (34%), AWS (29%), Machine learning (19%), Spark (15%), Databricks (14%), Stakeholder management (13%), Azure (13%) — counted across their open postings here.
AWS jobs · CI/CD jobs · Data warehousing jobs · Databricks jobs
Neoware Technology Solutions has 4 open roles listed here.
- AI Testing Engineerbengaluru
- Data scientistbengaluru
- Data Modelerbengaluru
Counted across 14 company job boards, updated as roles open and close.
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Interviews for data roles keep coming back to Python, SQL, AWS, Machine learning. Practise those questions before you sit with Neoware Technology Solutions.
Questions you are likely to be asked
- Why do you want to join Neoware Technology Solutions?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- 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.
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Practise the AWS Data Engineer at Neoware Technology Solutions interview free →Job Description – Data Engineer (AWS) As a Data Engineer, you will be part of a dynamic team of data engineers and be responsible for the technical design, implementation, optimization, and maintenance of data engineering solution components for our customers. You will be required to have strong hands-on experience in implementing data engineering solutions on AWS, with a good understanding of data warehouse, data lake, and lake-house architecture patterns. Requirements 3+ years of hands-on experience in design, development, and implementation of data engineering solutions. Good understanding of database concepts and strong hands-on experience in SQL development, including performance tuning and query optimization. Strong programming skills in Python with hands-on experience in developing data engineering solutions. Strong hands-on experience in implementing data pipelines using PySpark or Spark Scala. Hands-on experience with Databricks, including development, optimization, and management of large-scale data processing and analytics workloads. Must have an understanding of streaming data pipelines for near real-time analytics. Hands-on experience and good understanding of AWS services for data engineering, including AWS Glue, Lambda, Step Functions, Amazon Redshift, EMR, Amazon Kinesis, etc. Hands-on experience with AWS Lambda is required. Good understanding and experience working with at least one NoSQL database. Good understanding of modern data architecture patterns and industry trends in the data engineering space. Good understanding of data governance concepts for data platforms and analytical solutions. Experience with version control tools like Git for managing source code. Experience with DevOps processes, including implementing CI/CD pipelines for data engineering solution components. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Good to Have: Certifications on AWS platform, preferably related to Data Engineering. Experience working with Amazon AppFlow, EKS, API Gateway, and NoSQL database services. Good understanding and experience working with BI/visualization tools like Tableau / Power BI.
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Check my match →Similar open roles
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Listed on wellfound · posted 2026-09-10. ApplySarthi collects openings and links to application pages; the role is advertised by Neoware Technology Solutions, not by us.