Senior Data Engineer AWS

IN KA Bengaluru, India

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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!

Experience : 3-6 Years

Location : Mumbai/ Bangalore/ Trivandrum (Hybrid)

Job Title : Senior Data Engineer

Key Responsibilities:

  • Responsible to oversee the migration and modernization of the customer’s platform and database services from Google Cloud Platform (GCP) to Amazon Web Services (AWS)

  • Provide technical guidance and mentorship to the data engineering team

  • Design a robust AWS architecture for the database services, utilizing services such as Amazon RDS, Amazon Redshift, Amazon Aurora, Amazon Athena and Amazon DynamoDB

  • Implement migration strategies and modernization processes, ensuring compatibility, performance, and adherence to best practices

  • Collaborate closely with application and infrastructure teams to facilitate seamless integration of database services

  • Identifies and implements opportunities for optimization and performance improvements during the migration

  • Ensure compliance with data security, governance, and regulatory requirements during the migration

Must have skills:

  • Proven experience in cloud migration and modernization projects, with a strong understanding of AWS and GCP services.

  • Strong understanding of cloud architecture principles and best practices

  • Experience with data migration tools and strategies for AWS

  • Understanding of AWS services such as S3, Redshift, RDS, and Data Pipeline.

  • Skills in designing data models for both GCP and AWS environments.

  • Proficiency in ETL (Extract, Transform, Load) processes and tools, including AWS Glue and Apache Beam.

  • Knowledge of both SQL and NoSQL databases

  • Proficient in scripting and automation tools using Python, Bash, or similar languages to automate data transfer and to streamline migration processes

  • Strong ability to work effectively with cross-functional teams

  • Proficient in documenting migration processes and providing training/support to stakeholders

  • Experience in project planning, including defining timelines, milestones, and deliverables

  • Skilled in scoping, planning, and executing data-related projects while adhering to timelines and budgets

  • Ability to convey data requirements and migration benefits to non-technical stakeholders

  • Strong documentation skills for creating architectural documents and communicating complex concepts to non-technical stakeholders

  • Certifications: 

    • For Lead Architects at least 2 Professional or Specialty level AWS certification 

    • For Associate Architects at least 1 Professional or Specialty level AWS Certification 

    • For Senior Data Engineers at least 1 Associate level AWS certification 

Good to have skills:

  • Certifications: Relevant AWS Certifications (e.g., AWS Certified Solutions Architect) are advantageous

  • Knowledge of big data technologies like Hadoop, Spark and Kafka for handling large datasets

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture Athena AWS AWS Glue Big Data DynamoDB Engineering ETL Excel GCP Google Cloud Hadoop Kafka NoSQL Python Redshift Security Spark SQL

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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