Senior Data Engineer - DBT While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

JOB ROLE : Senior Data Engineer Experience : 4-7 Years Location : Mumbai/Bangalore Must have Primary skills: 3+ years of hands-on experience building large-scale AWS data engineering solutions. Strong hands-on experience with DBT(Cloud+Core).(highly recommended skill) Hands-on expertise into Redshift warehouse and Analytics. Strong hands-on expertise in SQL (analytical queries, window functions, stored procedures), Spark/PySpark, Python.

Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg . Strong knowledge of AWS services including SMUS, EC2, DynamoDB, API Gateway, MWAA, EMR, S3, Athena, Glue Catalog, Aurora PostgreSQL, Lambda, CloudWatch, SQS, SNS, EventBridge, Secrets Manager, CloudWatch and IAM .

Experience building scalable batch and streaming data pipelines on AWS. Strong experience in Spark/PySpark performance tuning and optimization.



Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQL for performance and scalability. Strong understanding of data modeling, partitioning, file formats, and Lakehouse/Data Lake architectures.

Experience implementing monitoring, logging, alerting, and observability for production data pipelines. Robust knowledge of data quality, troubleshooting, debugging, and production support.

Experience with CI/CD, Git, and data engineering best practices. Strong communication, problem-solving, and stakeholder management skills. AWS Data Engineer Associate or equivalent AWS Certification is preferred.

Good to have skills : Experience with AWS Step Functions.

Experience with Terraform or Infrastructure as Code. Exposure to Kafka, Hive, HDFS or other Big Data technologies. Hands-on experience using GenAI-assisted development tools such as Kiro, Copilot,Cursor, or similar AI coding assistants to improve engineering productivity.

Experience with ClickHouse Database Telecom/Mobile Network domain knowledge is preferred.

Experience and knowledge of Atscale design and development. knowledge of Docker and Kubernetes. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !

Experience Level Senior Level

📌 Senior Data Engineer (Bengaluru)
🏢 Quantiphi Analytics Solution
📍 Bengaluru