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(CloudCore).(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.

• Strong 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 CopilotCursor 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.