Senior Data Engineer - DBT

quantiphi; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Quantiphi is seeking a Senior Data Engineer in Mumbai/Bangalore to design and deliver large-scale AWS data engineering solutions, including DBT, Redshift, Spark/PySpark, and Lakehouse architectures. You will shape data models, pipelines, and performance optimizations while collaborating with cross-functional teams.

Required: 4–7 years of hands-on experience, strong SQL, Python, and cloud tooling; AWS certifications preferred, excellent communication, and problem-solving abilities.

Qualifications

• 4–7 years of hands-on data engineering experience.
• Strong SQL with analytics, window functions, and performance tuning.
• Hands-on with AWS data services, DBT, Spark/PySpark, and Lakehouse design.
• Experience implementing batch and streaming data pipelines on AWS.
• Excellent communication and stakeholder management.

Skills

AWS data engineering

DBT

Spark/PySpark

SQL

Python

Lakehouse

Data modeling

CI/CD

Stakeholder management

Tools

Redshift

Apache Iceberg

S3

Lambda

EMR

Athena

Glue Catalog

AWS

Job description

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.
• 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, 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 !