Senior Data Engineer - DBT
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
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3+ years of hands-on experience building large-scale AWS data engineering solutions.
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Strong hands-on experience with DBT(Cloud+Core).(highly recommended skill)
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Hands-on expertise into Redshift warehouse and Analytics.
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Strong hands-on expertise in SQL (analytical queries, window functions, stored procedures), Spark/PySpark, Python.
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Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg .
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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 .
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Experience building scalable batch and streaming data pipelines on AWS.
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Strong experience in Spark/PySpark performance tuning and optimization.
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Hands-on experience optimizing Apache Iceberg and Aurora PostgreSQL for performance and scalability.
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Strong understanding of data modeling, partitioning, file formats, and Lakehouse/Data Lake architectures.
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Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
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Strong knowledge of data quality, troubleshooting, debugging, and production support.
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Experience with CI/CD, Git, and data engineering best practices.
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Strong communication, problem-solving, and stakeholder management skills.
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AWS Data Engineer Associate or equivalent AWS Certification is preferred.
Good to have skills
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Experience with AWS Step Functions.
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Experience with Terraform or Infrastructure as Code.
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Exposure to Kafka, Hive, HDFS or other Big Data technologies.
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Hands-on experience using GenAI-assisted development tools such as Kiro, Copilot,Cursor, or similar AI coding assistants to improve engineering productivity.
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Experience with ClickHouse Database
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Telecom/Mobile Network domain knowledge is preferred.
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Experience and knowledge of Atscale design and development.
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knowledge of Docker and Kubernetes.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !