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Senior Data Engineer (DBT + AWS)
Senior Data Engineer (DBT + AWS)
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Senior Data Engineer (DBT + AWS)

Nikita Sinha's profile picture
Posted by Nikita Sinha
4 - 7 yrs
Best in industry
Mumbai, Bengaluru (Bangalore)
Skills
Data Transformation Tool (DBT)
skill iconAmazon Web Services (AWS)
PySpark
iceberg
SQL

As a Senior Data Engineer, you will be responsible for designing, developing, and optimizing scalable cloud-native data platforms on AWS. You will build high-performance batch and analytical data pipelines using DBT (Cloud + Core), AWS Glue, SMUS, Redshift, Python, MWAA, APIs, and other AWS services while ensuring reliability, scalability, and operational excellence.

The role requires strong expertise in data engineering, SQL optimization, distributed data processing, and cloud-native architectures.


Must Have Primary Skills

Data Engineering

  • 3+ years of hands-on experience building large-scale AWS Data Engineering solutions.
  • Strong experience designing scalable batch and streaming data pipelines on AWS.
  • Experience implementing monitoring, logging, alerting, and observability for production data pipelines.
  • Strong understanding of data quality, troubleshooting, debugging, and production support.

DBT & Data Warehousing

  • Strong hands-on experience with DBT (Cloud + Core) (Highly Recommended).
  • Hands-on expertise with Amazon Redshift for Data Warehousing and Analytics.

Programming & Querying

  • Strong expertise in:
  • SQL (Analytical Queries, Window Functions, Stored Procedures)
  • Python
  • Spark / PySpark
  • Strong experience in Spark/PySpark performance tuning and optimization.

Lakehouse & Apache Iceberg

  • Hands-on experience designing and implementing Lakehouse solutions using Apache Iceberg.
  • Experience optimizing Apache Iceberg and Amazon Aurora PostgreSQL for performance and scalability.
  • Strong understanding of:
  • Data Modeling
  • Partitioning
  • File Formats
  • Lakehouse / Data Lake Architectures

AWS Cloud Services

Hands-on experience with AWS services including:

  • AWS Glue
  • Amazon MWAA
  • Amazon EMR
  • Amazon Redshift
  • Amazon S3
  • Amazon Athena
  • AWS Glue Catalog
  • Amazon Aurora PostgreSQL
  • AWS Lambda
  • Amazon EC2
  • Amazon DynamoDB
  • Amazon API Gateway
  • Amazon CloudWatch
  • Amazon SQS
  • Amazon SNS
  • Amazon EventBridge
  • AWS Secrets Manager
  • AWS IAM

Development Practices

  • Experience with CI/CD.
  • Strong knowledge of Git.
  • Familiarity with Data Engineering best practices.

Soft Skills

  • Strong communication skills.
  • Excellent problem-solving ability.
  • Stakeholder management experience.

Preferred Certification

  • AWS Data Engineer Associate or equivalent AWS Certification.

Good to Have Skills

  • AWS Step Functions
  • Terraform / Infrastructure as Code (IaC)
  • Kafka
  • Hive
  • HDFS
  • Other Big Data technologies
  • Experience using GenAI-assisted development tools such as:
  • GitHub Copilot
  • Cursor
  • Kiro
  • Similar AI coding assistants
  • ClickHouse Database
  • Telecom / Mobile Network domain knowledge
  • AtScale design and development
  • Docker
  • Kubernetes 


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Quantiphi

Founded :
2013
Type :
Products & Services
Size :
1000-5000
Stage :
Profitable

About

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.

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Tech stack

Google Cloud Platform (GCP)
skill iconNodeJS (Node.js)
skill iconPython
Artificial Intelligence (AI)
MLOps

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Bengaluru, Mumbai, and Trivandrum

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Sameer Balpande

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