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Quantiphi

Senior Data Engineer - DBT

Quantiphi Bengaluru, Karnataka, India

IT Services and IT Consulting · 1,001-5,000 employees

13 h ago
data-engineer Senior (5-10 yrs) Full-time India
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About the role

Design and implement large-scale data engineering solutions and Lakehouse architectures using AWS services. Develop and optimize scalable batch and streaming data pipelines while ensuring high performance and data quality.

What they look for

AWS DBT Redshift SQL Spark PySpark Python Apache Iceberg Data Engineering Data Modeling CI/CD Git PostgreSQL Data Pipelines CloudWatch IAM

Requirements

Requires 4-7 years of experience with strong hands-on expertise in AWS, DBT, SQL, and Spark/PySpark. Candidates must have a solid understanding of data modeling, performance tuning, and production support for data pipelines.

Full 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!

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