Senior Data Engineer - DBT

Quantiphi • Python • SQL • AWS Glue • 3 hours ago
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Salary
≈ $26k – $54k per year (Estimated)
Location
In office (Bengaluru, Thiruvananthapuram, Mumbai)
Seniority
Senior · 4+ years exp
Employment
Full-Time
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Quantiphi

Quantiphi is an artificial intelligence and data engineering company founded in 2013 that builds applied machine learning systems for healthcare, financial services, retail, media and public sector clients. It works as a specialist partner to the major cloud providers, and its work spans document processing, computer vision, forecasting, conversational systems and the data platforms underneath them. Headquartered in Marlborough, Massachusetts with its largest engineering base in India, it employs several thousand people and competes with both the large systems integrators and smaller boutique data science firms.
quantiphi.com • HQ: Marlborough, United States • IT Consulting • Data Engineering • Document AI • AI Consulting & Integration • 1001-5000 employees • Est. 2013

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+ yearsof hands-on experience building large-scale AWS data engineering solutions.

  • Strong hands-on experience with DBT(Cloud+Core).(highly recommended skill)

  • Hands-on expertise intoRedshift 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 includingSMUS, EC2, DynamoDB, API Gateway, MWAA, EMR, S3, Athena, Glue Catalog, Aurora PostgreSQL, Lambda, CloudWatch, SQS, SNS, EventBridge, Secrets Manager, CloudWatch and IAM.

  • Experience building scalablebatch and streaming data pipelines on AWS.

  • Strong experience in Spark/PySparkperformance tuning and optimization.

  • Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQLfor performance and scalability.

  • Strong understanding of data modeling, partitioning, file formats, and Lakehouse/Data Lakearchitectures.

  • 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 Certificationis 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 ClickHouseDatabase

  • 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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